Reverting to 079b935

args_manager.py

@@ -37,6 +37,7 @@ args_parser.parser.add_argument("--always-download-new-model", action='store_tru
 args_parser.parser.set_defaults(
     disable_cuda_malloc=True,
     in_browser=True,
+    api_mode=False,
     port=None
 )
 

language/en.json

@@ -1,14 +1,33 @@
 {
+    "# <center>zStudios Generative Media AI running on CPU</center>": "# <center>zStudios Generative Media AI running on CPU</center>",
+    "DALL-E": "DALL-E",
+    "Model": "Model",
+    "dall-e-3": "dall-e-3",
+    "dall-e-2": "dall-e-2",
+    "Quality": "Quality",
+    "standard": "standard",
+    "hd": "hd",
+    "Size": "Size",
+    "1024x1024": "1024x1024",
+    "256x256": "256x256",
+    "512x512": "512x512",
+    "1792x1024": "1792x1024",
+    "1024x1792": "1024x1792",
+    "Prompt": "Prompt",
+    "Run": "Run",
+    "Image Output": "Image Output",
+    "Fooocus": "Fooocus",
+    "Deactivated": "Deactivated",
     "Preview": "Preview",
+    "Finished Images": "Finished Images",
     "Gallery": "Gallery",
     "Generate": "Generate",
+    "Load Parameters": "Load Parameters",
     "Skip": "Skip",
     "Stop": "Stop",
     "Input Image": "Input Image",
     "Advanced": "Advanced",
     "Upscale or Variation": "Upscale or Variation",
-    "Image Prompt": "Image Prompt",
-    "Inpaint or Outpaint (beta)": "Inpaint or Outpaint (beta)",
     "Drag above image to here": "Drag above image to here",
     "Upscale or Variation:": "Upscale or Variation:",
     "Disabled": "Disabled",
@@ -17,50 +36,105 @@
     "Upscale (1.5x)": "Upscale (1.5x)",
     "Upscale (2x)": "Upscale (2x)",
     "Upscale (Fast 2x)": "Upscale (Fast 2x)",
-    "\ud83d\udcd4 Document": "\uD83D\uDCD4 Document",
+    "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/390\" target=\"_blank\">\ud83d\udcd4 Document</a>": "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/390\" target=\"_blank\">\ud83d\udcd4 Document</a>",
+    "Image Prompt": "Image Prompt",
     "Image": "Image",
     "Stop At": "Stop At",
     "Weight": "Weight",
     "Type": "Type",
+    "ImagePrompt": "ImagePrompt",
     "PyraCanny": "PyraCanny",
     "CPDS": "CPDS",
-    "* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1).": "* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1).",
-    "The scaler multiplied to positive ADM (use 1.0 to disable).": "The scaler multiplied to positive ADM (use 1.0 to disable).",
-    "The scaler multiplied to negative ADM (use 1.0 to disable).": "The scaler multiplied to negative ADM (use 1.0 to disable).",
-    "When to end the guidance from positive/negative ADM.": "When to end the guidance from positive/negative ADM.",
-    "Similar to the Control Mode in A1111 (use 0.0 to disable).": "Similar to the Control Mode in A1111 (use 0.0 to disable).",
-    "Outpaint Expansion (": "Outpaint Expansion (",
-    "Outpaint": "Outpaint",
+    "FaceSwap": "FaceSwap",
+    "* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href=\"https://github.com/lllyasviel/Fooocus/discussions/557\" target=\"_blank\">\ud83d\udcd4 Document</a>": "* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href=\"https://github.com/lllyasviel/Fooocus/discussions/557\" target=\"_blank\">\ud83d\udcd4 Document</a>",
+    "Inpaint or Outpaint": "Inpaint or Outpaint",
+    "Drag inpaint or outpaint image to here": "Drag inpaint or outpaint image to here",
+    "Mask Upload": "Mask Upload",
+    "Inpaint Additional Prompt": "Inpaint Additional Prompt",
+    "Outpaint Direction": "Outpaint Direction",
     "Left": "Left",
     "Right": "Right",
     "Top": "Top",
     "Bottom": "Bottom",
-    "* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)": "* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)",
+    "Method": "Method",
+    "Inpaint or Outpaint (default)": "Inpaint or Outpaint (default)",
+    "Improve Detail (face, hand, eyes, etc.)": "Improve Detail (face, hand, eyes, etc.)",
+    "Modify Content (add objects, change background, etc.)": "Modify Content (add objects, change background, etc.)",
+    "Additional Prompt Quick List": "Additional Prompt Quick List",
+    "* Powered by Fooocus Inpaint Engine <a href=\"https://github.com/lllyasviel/Fooocus/discussions/414\" target=\"_blank\">\ud83d\udcd4 Document</a>": "* Powered by Fooocus Inpaint Engine <a href=\"https://github.com/lllyasviel/Fooocus/discussions/414\" target=\"_blank\">\ud83d\udcd4 Document</a>",
+    "Describe": "Describe",
+    "Drag any image to here": "Drag any image to here",
+    "Content Type": "Content Type",
+    "Photograph": "Photograph",
+    "Art/Anime": "Art/Anime",
+    "Describe this Image into Prompt": "Describe this Image into Prompt",
+    "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/1363\" target=\"_blank\">\ud83d\udcd4 Document</a>": "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/1363\" target=\"_blank\">\ud83d\udcd4 Document</a>",
+    "Metadata": "Metadata",
+    "Drag any image generated by Fooocus here": "Drag any image generated by Fooocus here",
+    "Apply Metadata": "Apply Metadata",
+    "uov": "uov",
     "Setting": "Setting",
-    "Style": "Style",
     "Preset": "Preset",
+    "initial": "initial",
+    "realistic": "realistic",
+    "lightning": "lightning",
+    "anime": "anime",
+    "sai": "sai",
+    "default": "default",
+    "lcm": "lcm",
     "Performance": "Performance",
     "Speed": "Speed",
-    "Quality": "Quality",
     "Extreme Speed": "Extreme Speed",
     "Lightning": "Lightning",
     "Aspect Ratios": "Aspect Ratios",
+    "1152\u00d7896 <span style=\"color: grey;\"> \u2223 9:7</span>": "1152\u00d7896 <span style=\"color: grey;\"> \u2223 9:7</span>",
     "width \u00d7 height": "width \u00d7 height",
+    "704\u00d71408 <span style=\"color: grey;\"> \u2223 1:2</span>": "704\u00d71408 <span style=\"color: grey;\"> \u2223 1:2</span>",
+    "704\u00d71344 <span style=\"color: grey;\"> \u2223 11:21</span>": "704\u00d71344 <span style=\"color: grey;\"> \u2223 11:21</span>",
+    "768\u00d71344 <span style=\"color: grey;\"> \u2223 4:7</span>": "768\u00d71344 <span style=\"color: grey;\"> \u2223 4:7</span>",
+    "768\u00d71280 <span style=\"color: grey;\"> \u2223 3:5</span>": "768\u00d71280 <span style=\"color: grey;\"> \u2223 3:5</span>",
+    "832\u00d71216 <span style=\"color: grey;\"> \u2223 13:19</span>": "832\u00d71216 <span style=\"color: grey;\"> \u2223 13:19</span>",
+    "832\u00d71152 <span style=\"color: grey;\"> \u2223 13:18</span>": "832\u00d71152 <span style=\"color: grey;\"> \u2223 13:18</span>",
+    "896\u00d71152 <span style=\"color: grey;\"> \u2223 7:9</span>": "896\u00d71152 <span style=\"color: grey;\"> \u2223 7:9</span>",
+    "896\u00d71088 <span style=\"color: grey;\"> \u2223 14:17</span>": "896\u00d71088 <span style=\"color: grey;\"> \u2223 14:17</span>",
+    "960\u00d71088 <span style=\"color: grey;\"> \u2223 15:17</span>": "960\u00d71088 <span style=\"color: grey;\"> \u2223 15:17</span>",
+    "960\u00d71024 <span style=\"color: grey;\"> \u2223 15:16</span>": "960\u00d71024 <span style=\"color: grey;\"> \u2223 15:16</span>",
+    "1024\u00d71024 <span style=\"color: grey;\"> \u2223 1:1</span>": "1024\u00d71024 <span style=\"color: grey;\"> \u2223 1:1</span>",
+    "1024\u00d7960 <span style=\"color: grey;\"> \u2223 16:15</span>": "1024\u00d7960 <span style=\"color: grey;\"> \u2223 16:15</span>",
+    "1088\u00d7960 <span style=\"color: grey;\"> \u2223 17:15</span>": "1088\u00d7960 <span style=\"color: grey;\"> \u2223 17:15</span>",
+    "1088\u00d7896 <span style=\"color: grey;\"> \u2223 17:14</span>": "1088\u00d7896 <span style=\"color: grey;\"> \u2223 17:14</span>",
+    "1152\u00d7832 <span style=\"color: grey;\"> \u2223 18:13</span>": "1152\u00d7832 <span style=\"color: grey;\"> \u2223 18:13</span>",
+    "1216\u00d7832 <span style=\"color: grey;\"> \u2223 19:13</span>": "1216\u00d7832 <span style=\"color: grey;\"> \u2223 19:13</span>",
+    "1280\u00d7768 <span style=\"color: grey;\"> \u2223 5:3</span>": "1280\u00d7768 <span style=\"color: grey;\"> \u2223 5:3</span>",
+    "1344\u00d7768 <span style=\"color: grey;\"> \u2223 7:4</span>": "1344\u00d7768 <span style=\"color: grey;\"> \u2223 7:4</span>",
+    "1344\u00d7704 <span style=\"color: grey;\"> \u2223 21:11</span>": "1344\u00d7704 <span style=\"color: grey;\"> \u2223 21:11</span>",
+    "1408\u00d7704 <span style=\"color: grey;\"> \u2223 2:1</span>": "1408\u00d7704 <span style=\"color: grey;\"> \u2223 2:1</span>",
+    "1472\u00d7704 <span style=\"color: grey;\"> \u2223 23:11</span>": "1472\u00d7704 <span style=\"color: grey;\"> \u2223 23:11</span>",
+    "1536\u00d7640 <span style=\"color: grey;\"> \u2223 12:5</span>": "1536\u00d7640 <span style=\"color: grey;\"> \u2223 12:5</span>",
+    "1600\u00d7640 <span style=\"color: grey;\"> \u2223 5:2</span>": "1600\u00d7640 <span style=\"color: grey;\"> \u2223 5:2</span>",
+    "1664\u00d7576 <span style=\"color: grey;\"> \u2223 26:9</span>": "1664\u00d7576 <span style=\"color: grey;\"> \u2223 26:9</span>",
+    "1728\u00d7576 <span style=\"color: grey;\"> \u2223 3:1</span>": "1728\u00d7576 <span style=\"color: grey;\"> \u2223 3:1</span>",
     "Image Number": "Image Number",
+    "Output Format": "Output Format",
+    "png": "png",
+    "jpeg": "jpeg",
+    "webp": "webp",
     "Negative Prompt": "Negative Prompt",
     "Describing what you do not want to see.": "Describing what you do not want to see.",
     "Random": "Random",
     "Seed": "Seed",
-    "Disable seed increment": "Disable seed increment",
-    "Disable automatic seed increment when image number is > 1.": "Disable automatic seed increment when image number is > 1.",
-    "Read wildcards in order": "Read wildcards in order",
-    "\ud83d\udcda History Log": "\uD83D\uDCDA History Log",
-    "Image Style": "Image Style",
+    "0": "0",
+    "Style": "Style",
+    "Search Styles": "Search Styles",
+    "Selected Styles": "Selected Styles",
     "Fooocus V2": "Fooocus V2",
-    "Default (Slightly Cinematic)": "Default (Slightly Cinematic)",
+    "Fooocus Enhance": "Fooocus Enhance",
+    "Fooocus Sharp": "Fooocus Sharp",
+    "Fooocus Semi Realistic": "Fooocus Semi Realistic",
     "Fooocus Masterpiece": "Fooocus Masterpiece",
     "Fooocus Photograph": "Fooocus Photograph",
     "Fooocus Negative": "Fooocus Negative",
+    "Fooocus Cinematic": "Fooocus Cinematic",
     "SAI 3D Model": "SAI 3D Model",
     "SAI Analog Film": "SAI Analog Film",
     "SAI Anime": "SAI Anime",
@@ -268,35 +342,90 @@
     "Volumetric Lighting": "Volumetric Lighting",
     "Watercolor 2": "Watercolor 2",
     "Whimsical And Playful": "Whimsical And Playful",
-    "Model": "Model",
+    "Mk Chromolithography": "Mk Chromolithography",
+    "Mk Cross Processing Print": "Mk Cross Processing Print",
+    "Mk Dufaycolor Photograph": "Mk Dufaycolor Photograph",
+    "Mk Herbarium": "Mk Herbarium",
+    "Mk Punk Collage": "Mk Punk Collage",
+    "Mk Mosaic": "Mk Mosaic",
+    "Mk Van Gogh": "Mk Van Gogh",
+    "Mk Coloring Book": "Mk Coloring Book",
+    "Mk Singer Sargent": "Mk Singer Sargent",
+    "Mk Pollock": "Mk Pollock",
+    "Mk Basquiat": "Mk Basquiat",
+    "Mk Andy Warhol": "Mk Andy Warhol",
+    "Mk Halftone Print": "Mk Halftone Print",
+    "Mk Gond Painting": "Mk Gond Painting",
+    "Mk Albumen Print": "Mk Albumen Print",
+    "Mk Aquatint Print": "Mk Aquatint Print",
+    "Mk Anthotype Print": "Mk Anthotype Print",
+    "Mk Inuit Carving": "Mk Inuit Carving",
+    "Mk Bromoil Print": "Mk Bromoil Print",
+    "Mk Calotype Print": "Mk Calotype Print",
+    "Mk Color Sketchnote": "Mk Color Sketchnote",
+    "Mk Cibulak Porcelain": "Mk Cibulak Porcelain",
+    "Mk Alcohol Ink Art": "Mk Alcohol Ink Art",
+    "Mk One Line Art": "Mk One Line Art",
+    "Mk Blacklight Paint": "Mk Blacklight Paint",
+    "Mk Carnival Glass": "Mk Carnival Glass",
+    "Mk Cyanotype Print": "Mk Cyanotype Print",
+    "Mk Cross Stitching": "Mk Cross Stitching",
+    "Mk Encaustic Paint": "Mk Encaustic Paint",
+    "Mk Embroidery": "Mk Embroidery",
+    "Mk Gyotaku": "Mk Gyotaku",
+    "Mk Luminogram": "Mk Luminogram",
+    "Mk Lite Brite Art": "Mk Lite Brite Art",
+    "Mk Mokume Gane": "Mk Mokume Gane",
+    "Pebble Art": "Pebble Art",
+    "Mk Palekh": "Mk Palekh",
+    "Mk Suminagashi": "Mk Suminagashi",
+    "Mk Scrimshaw": "Mk Scrimshaw",
+    "Mk Shibori": "Mk Shibori",
+    "Mk Vitreous Enamel": "Mk Vitreous Enamel",
+    "Mk Ukiyo E": "Mk Ukiyo E",
+    "Mk Vintage Airline Poster": "Mk Vintage Airline Poster",
+    "Mk Vintage Travel Poster": "Mk Vintage Travel Poster",
+    "Mk Bauhaus Style": "Mk Bauhaus Style",
+    "Mk Afrofuturism": "Mk Afrofuturism",
+    "Mk Atompunk": "Mk Atompunk",
+    "Mk Constructivism": "Mk Constructivism",
+    "Mk Chicano Art": "Mk Chicano Art",
+    "Mk De Stijl": "Mk De Stijl",
+    "Mk Dayak Art": "Mk Dayak Art",
+    "Mk Fayum Portrait": "Mk Fayum Portrait",
+    "Mk Illuminated Manuscript": "Mk Illuminated Manuscript",
+    "Mk Kalighat Painting": "Mk Kalighat Painting",
+    "Mk Madhubani Painting": "Mk Madhubani Painting",
+    "Mk Pictorialism": "Mk Pictorialism",
+    "Mk Pichwai Painting": "Mk Pichwai Painting",
+    "Mk Patachitra Painting": "Mk Patachitra Painting",
+    "Mk Samoan Art Inspired": "Mk Samoan Art Inspired",
+    "Mk Tlingit Art": "Mk Tlingit Art",
+    "Mk Adnate Style": "Mk Adnate Style",
+    "Mk Ron English Style": "Mk Ron English Style",
+    "Mk Shepard Fairey Style": "Mk Shepard Fairey Style",
     "Base Model (SDXL only)": "Base Model (SDXL only)",
-    "sd_xl_base_1.0_0.9vae.safetensors": "sd_xl_base_1.0_0.9vae.safetensors",
-    "bluePencilXL_v009.safetensors": "bluePencilXL_v009.safetensors",
-    "bluePencilXL_v050.safetensors": "bluePencilXL_v050.safetensors",
-    "DreamShaper_8_pruned.safetensors": "DreamShaper_8_pruned.safetensors",
-    "realisticStockPhoto_v10.safetensors": "realisticStockPhoto_v10.safetensors",
-    "realisticVisionV51_v51VAE.safetensors": "realisticVisionV51_v51VAE.safetensors",
-    "sd_xl_refiner_1.0_0.9vae.safetensors": "sd_xl_refiner_1.0_0.9vae.safetensors",
+    "juggernautXL_v8Rundiffusion.safetensors": "juggernautXL_v8Rundiffusion.safetensors",
     "Refiner (SDXL or SD 1.5)": "Refiner (SDXL or SD 1.5)",
     "None": "None",
-    "LoRAs": "LoRAs",
-    "SDXL LoRA 1": "SDXL LoRA 1",
+    "Refiner Switch At": "Refiner Switch At",
+    "Use 0.4 for SD1.5 realistic models; or 0.667 for SD1.5 anime models; or 0.8 for XL-refiners; or any value for switching two SDXL models.": "Use 0.4 for SD1.5 realistic models; or 0.667 for SD1.5 anime models; or 0.8 for XL-refiners; or any value for switching two SDXL models.",
+    "Enable": "Enable",
+    "LoRA 1": "LoRA 1",
     "sd_xl_offset_example-lora_1.0.safetensors": "sd_xl_offset_example-lora_1.0.safetensors",
-    "3d_render_style_xl.safetensors": "3d_render_style_xl.safetensors",
-    "Bloodstained-XL-V1.safetensors": "Bloodstained-XL-V1.safetensors",
-    "SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors": "SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors",
-    "SDXL LoRA 2": "SDXL LoRA 2",
-    "SDXL LoRA 3": "SDXL LoRA 3",
-    "SDXL LoRA 4": "SDXL LoRA 4",
-    "SDXL LoRA 5": "SDXL LoRA 5",
+    "LoRA 2": "LoRA 2",
+    "LoRA 3": "LoRA 3",
+    "LoRA 4": "LoRA 4",
+    "LoRA 5": "LoRA 5",
     "Refresh": "Refresh",
     "\ud83d\udd04 Refresh All Files": "\ud83d\udd04 Refresh All Files",
-    "Sampling Sharpness": "Sampling Sharpness",
-    "Higher value means image and texture are sharper.": "Higher value means image and texture are sharper.",
     "Guidance Scale": "Guidance Scale",
     "Higher value means style is cleaner, vivider, and more artistic.": "Higher value means style is cleaner, vivider, and more artistic.",
+    "Image Sharpness": "Image Sharpness",
+    "Higher value means image and texture are sharper.": "Higher value means image and texture are sharper.",
+    "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/117\" target=\"_blank\">\ud83d\udcd4 Document</a>": "<a href=\"https://github.com/lllyasviel/Fooocus/discussions/117\" target=\"_blank\">\ud83d\udcd4 Document</a>",
     "Developer Debug Mode": "Developer Debug Mode",
-    "Developer Debug Tools": "Developer Debug Tools",
+    "Debug Tools": "Debug Tools",
     "Positive ADM Guidance Scaler": "Positive ADM Guidance Scaler",
     "The scaler multiplied to positive ADM (use 1.0 to disable). ": "The scaler multiplied to positive ADM (use 1.0 to disable). ",
     "Negative ADM Guidance Scaler": "Negative ADM Guidance Scaler",
@@ -311,10 +440,10 @@
     "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).": "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).",
     "Sampler": "Sampler",
     "dpmpp_2m_sde_gpu": "dpmpp_2m_sde_gpu",
-    "Only effective in non-inpaint mode.": "Only effective in non-inpaint mode.",
     "euler": "euler",
     "euler_ancestral": "euler_ancestral",
     "heun": "heun",
+    "heunpp2": "heunpp2",
     "dpm_2": "dpm_2",
     "dpm_2_ancestral": "dpm_2_ancestral",
     "lms": "lms",
@@ -333,12 +462,14 @@
     "uni_pc_bh2": "uni_pc_bh2",
     "Scheduler": "Scheduler",
     "karras": "karras",
-    "Scheduler of Sampler.": "Scheduler of Sampler.",
     "normal": "normal",
     "exponential": "exponential",
     "sgm_uniform": "sgm_uniform",
     "simple": "simple",
     "ddim_uniform": "ddim_uniform",
+    "turbo": "turbo",
+    "Generate Image Grid for Each Batch": "Generate Image Grid for Each Batch",
+    "(Experimental) This may cause performance problems on some computers and certain internet conditions.": "(Experimental) This may cause performance problems on some computers and certain internet conditions.",
     "Forced Overwrite of Sampling Step": "Forced Overwrite of Sampling Step",
     "Set as -1 to disable. For developer debugging.": "Set as -1 to disable. For developer debugging.",
     "Forced Overwrite of Refiner Switch Step": "Forced Overwrite of Refiner Switch Step",
@@ -352,12 +483,22 @@
     "Disable preview during generation.": "Disable preview during generation.",
     "Disable Intermediate Results": "Disable Intermediate Results",
     "Disable intermediate results during generation, only show final gallery.": "Disable intermediate results during generation, only show final gallery.",
-    "Inpaint Engine": "Inpaint Engine",
-    "v1": "v1",
-    "Version of Fooocus inpaint model": "Version of Fooocus inpaint model",
-    "v2.5": "v2.5",
-    "Control Debug": "Control Debug",
+    "Disable seed increment": "Disable seed increment",
+    "Disable automatic seed increment when image number is > 1.": "Disable automatic seed increment when image number is > 1.",
+    "Read wildcards in order": "Read wildcards in order",
+    "Save Metadata to Images": "Save Metadata to Images",
+    "Adds parameters to generated images allowing manual regeneration.": "Adds parameters to generated images allowing manual regeneration.",
+    "Metadata Scheme": "Metadata Scheme",
+    "fooocus": "fooocus",
+    "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.",
+    "fooocus (json)": "fooocus (json)",
+    "a1111 (plain text)": "a1111 (plain text)",
+    "a1111": "a1111",
+    "Control": "Control",
     "Debug Preprocessors": "Debug Preprocessors",
+    "See the results from preprocessors.": "See the results from preprocessors.",
+    "Skip Preprocessors": "Skip Preprocessors",
+    "Do not preprocess images. (Inputs are already canny/depth/cropped-face/etc.)": "Do not preprocess images. (Inputs are already canny/depth/cropped-face/etc.)",
     "Mixing Image Prompt and Vary/Upscale": "Mixing Image Prompt and Vary/Upscale",
     "Mixing Image Prompt and Inpaint": "Mixing Image Prompt and Inpaint",
     "Softness of ControlNet": "Softness of ControlNet",
@@ -365,25 +506,26 @@
     "Canny": "Canny",
     "Canny Low Threshold": "Canny Low Threshold",
     "Canny High Threshold": "Canny High Threshold",
+    "Inpaint": "Inpaint",
+    "Debug Inpaint Preprocessing": "Debug Inpaint Preprocessing",
+    "Disable initial latent in inpaint": "Disable initial latent in inpaint",
+    "Inpaint Engine": "Inpaint Engine",
+    "v2.6": "v2.6",
+    "Version of Fooocus inpaint model": "Version of Fooocus inpaint model",
+    "v1": "v1",
+    "v2.5": "v2.5",
+    "Inpaint Denoising Strength": "Inpaint Denoising Strength",
+    "Same as the denoising strength in A1111 inpaint. Only used in inpaint, not used in outpaint. (Outpaint always use 1.0)": "Same as the denoising strength in A1111 inpaint. Only used in inpaint, not used in outpaint. (Outpaint always use 1.0)",
+    "Inpaint Respective Field": "Inpaint Respective Field",
+    "The area to inpaint. Value 0 is same as \"Only Masked\" in A1111. Value 1 is same as \"Whole Image\" in A1111. Only used in inpaint, not used in outpaint. (Outpaint always use 1.0)": "The area to inpaint. Value 0 is same as \"Only Masked\" in A1111. Value 1 is same as \"Whole Image\" in A1111. Only used in inpaint, not used in outpaint. (Outpaint always use 1.0)",
+    "Mask Erode or Dilate": "Mask Erode or Dilate",
+    "Positive value will make white area in the mask larger, negative value will make white area smaller.(default is 0, always process before any mask invert)": "Positive value will make white area in the mask larger, negative value will make white area smaller.(default is 0, always process before any mask invert)",
+    "Enable Mask Upload": "Enable Mask Upload",
+    "Invert Mask": "Invert Mask",
     "FreeU": "FreeU",
     "Enabled": "Enabled",
     "B1": "B1",
     "B2": "B2",
     "S1": "S1",
-    "S2": "S2",
-    "\uD83D\uDD0E Type here to search styles ...": "\uD83D\uDD0E Type here to search styles ...",
-    "Type prompt here.": "Type prompt here.",
-    "Outpaint Expansion Direction:": "Outpaint Expansion Direction:",
-    "* Powered by Fooocus Inpaint Engine (beta)": "* Powered by Fooocus Inpaint Engine (beta)",
-    "Fooocus Enhance": "Fooocus Enhance",
-    "Fooocus Cinematic": "Fooocus Cinematic",
-    "Fooocus Sharp": "Fooocus Sharp",
-    "Drag any image generated by Fooocus here": "Drag any image generated by Fooocus here",
-    "Metadata": "Metadata",
-    "Apply Metadata": "Apply Metadata",
-    "Metadata Scheme": "Metadata Scheme",
-    "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.",
-    "fooocus (json)": "fooocus (json)",
-    "a1111 (plain text)": "a1111 (plain text)",
-    "Unsupported image type in input": "Unsupported image type in input"
+    "S2": "S2"
 }

launch.py

@@ -27,6 +27,7 @@ TRY_INSTALL_XFORMERS = False
 
 
 def prepare_environment():
+
     torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu121")
     torch_command = os.environ.get('TORCH_COMMAND',
                                    f"pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url {torch_index_url}")
@@ -71,10 +72,12 @@ def ini_args():
     from args_manager import args
     return args
 
-
-prepare_environment()
-build_launcher()
 args = ini_args()
+if not args.api_mode:
+    prepare_environment()
+    build_launcher()
+    args = ini_args()
+
 
 if args.gpu_device_id is not None:
    os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
@@ -128,9 +131,9 @@ def download_models(default_model, previous_default_models, checkpoint_downloads
 
     return default_model, checkpoint_downloads
 
-
-config.default_base_model_name, config.checkpoint_downloads = download_models(
-    config.default_base_model_name, config.previous_default_models, config.checkpoint_downloads,
-   config.embeddings_downloads, config.lora_downloads)
+if not args.api_mode:
+    config.default_base_model_name, config.checkpoint_downloads = download_models(
+        config.default_base_model_name, config.previous_default_models, config.checkpoint_downloads,
+    config.embeddings_downloads, config.lora_downloads)
 
 from webui import *

ldm_patched/modules/args_parser.py

@@ -46,6 +46,7 @@ parser.add_argument("--in-browser", action="store_true")
 parser.add_argument("--disable-in-browser", action="store_true")
 parser.add_argument("--gpu-device-id", type=int, default=None, metavar="DEVICE_ID")
 cm_group = parser.add_mutually_exclusive_group()
+parser.add_argument("--api-mode", action="store_true")
 cm_group.add_argument("--async-cuda-allocation", action="store_true")
 cm_group.add_argument("--disable-async-cuda-allocation", action="store_true")
 

modules/ui_gradio_extensions.py

@@ -52,6 +52,11 @@ def css_html():
     head = f'<link rel="stylesheet" property="stylesheet" href="{style_css_path}">'
     return head
 
+def zStudiosHeader(power_device):
+    logo_path = webpath('backstage.png')
+    zHead = f"""<table><tr><td><img src="{logo_path}" width="36" height="36"/></td><td><font size="5">zStudios Generative Media AI running on {power_device}</font></td></tr></table>"""
+    return zHead
+
 
 def reload_javascript():
     js = javascript_html()

requirements.txt

@@ -20,3 +20,4 @@ timm==0.9.2
 diffusers
 invisible_watermark
 xformers
+openai==1.2.3

webui.py

@@ -16,6 +16,7 @@ import modules.meta_parser
 import args_manager
 import copy
 import launch
+import torch
 
 from modules.sdxl_styles import legal_style_names
 from modules.private_logger import get_current_html_path
@@ -23,6 +24,15 @@ from modules.ui_gradio_extensions import reload_javascript
 from modules.auth import auth_enabled, check_auth
 from modules.util import is_json
 
+def ini_args():
+    from args_manager import args
+    return args
+
+if ini_args().api_mode:
+    import dummy_inference as inf
+else:
+    import inference as inf
+
 def get_task(*args):
     args = list(args)
     args.pop(0)
@@ -96,614 +106,642 @@ title = f'Fooocus {fooocus_version.version}'
 if isinstance(args_manager.args.preset, str):
     title += ' ' + args_manager.args.preset
 
-shared.gradio_root = gr.Blocks(title=title).queue()
+theme = gr.themes.Soft()
+
+shared.gradio_root = gr.Blocks(title=title, theme=theme).queue()
+
+if torch.cuda.is_available():
+    power_device = "GPU"
+else:
+    power_device = "CPU"
 
 with shared.gradio_root:
-    currentTask = gr.State(worker.AsyncTask(args=[]))
-    with gr.Row():
-        with gr.Column(scale=2):
-            with gr.Row():
-                progress_window = grh.Image(label='Preview', show_label=True, visible=False, height=768,
-                                            elem_classes=['main_view'])
-                progress_gallery = gr.Gallery(label='Finished Images', show_label=True, object_fit='contain',
-                                              height=768, visible=False, elem_classes=['main_view', 'image_gallery'])
-            progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False,
-                                    elem_id='progress-bar', elem_classes='progress-bar')
-            gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', visible=True, height=768,
-                                 elem_classes=['resizable_area', 'main_view', 'final_gallery', 'image_gallery'],
-                                 elem_id='final_gallery')
-            with gr.Row(elem_classes='type_row'):
-                with gr.Column(scale=17):
-                    prompt = gr.Textbox(show_label=False, placeholder="Type prompt here or paste parameters.", elem_id='positive_prompt',
-                                        container=False, autofocus=True, elem_classes='type_row', lines=1024)
-
-                    default_prompt = modules.config.default_prompt
-                    if isinstance(default_prompt, str) and default_prompt != '':
-                        shared.gradio_root.load(lambda: default_prompt, outputs=prompt)
-
-                with gr.Column(scale=3, min_width=0):
-                    generate_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', elem_id='generate_button', visible=True)
-                    load_parameter_button = gr.Button(label="Load Parameters", value="Load Parameters", elem_classes='type_row', elem_id='load_parameter_button', visible=False)
-                    skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False)
-                    stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False)
-
-                    def stop_clicked(currentTask):
-                        import ldm_patched.modules.model_management as model_management
-                        currentTask.last_stop = 'stop'
-                        if (currentTask.processing):
-                            model_management.interrupt_current_processing()
-                        return currentTask
-
-                    def skip_clicked(currentTask):
-                        import ldm_patched.modules.model_management as model_management
-                        currentTask.last_stop = 'skip'
-                        if (currentTask.processing):
-                            model_management.interrupt_current_processing()
-                        return currentTask
-
-                    stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
-                    skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False)
-            with gr.Row(elem_classes='advanced_check_row'):
-                input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
-                advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
-            with gr.Row(visible=False) as image_input_panel:
-                with gr.Tabs():
-                    with gr.TabItem(label='Upscale or Variation') as uov_tab:
-                        with gr.Row():
-                            with gr.Column():
-                                uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy')
-                            with gr.Column():
-                                uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
-                                gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">\U0001F4D4 Document</a>')
-                    with gr.TabItem(label='Image Prompt') as ip_tab:
-                        with gr.Row():
-                            ip_images = []
-                            ip_types = []
-                            ip_stops = []
-                            ip_weights = []
-                            ip_ctrls = []
-                            ip_ad_cols = []
-                            for _ in range(flags.controlnet_image_count):
+    gr.Markdown(f"""# <center>zStudios Generative Media AI running on {power_device}</center>""")
+    with gr.Tab("DALL-E"):
+        with gr.Row(variant="panel"):
+            model = gr.Dropdown(choices=["dall-e-2", "dall-e-3"], label="Model", value="dall-e-3")
+            quality = gr.Dropdown(choices=["standard", "hd"], label="Quality", value="standard")
+            size = gr.Dropdown(choices=["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"], label="Size",
+                            value="1024x1024")
+
+        dalleText = gr.Textbox(label="Prompt",
+                        placeholder="Enter your text and then click on the \"Run\" button, "
+                                    "or simply press the Enter key.")
+        dalleBtn = gr.Button("Run")
+        output_image = gr.Image(label="Image Output")
+
+        dalleText.submit(fn=inf.infer_dall_e, inputs=[dalleText, model, quality, size], outputs=output_image, api_name="infer_dall_e")
+        dalleBtn.click(fn=inf.infer_dall_e, inputs=[dalleText, model, quality, size], outputs=output_image, api_name=False)
+
+    with gr.Tab("Fooocus"):
+        args = ini_args()
+        if args.api_mode:
+            gr.Markdown("Deactivated")
+        currentTask = gr.State(worker.AsyncTask(args=[]))
+        with gr.Row():
+            with gr.Column(scale=2):
+                with gr.Row():
+                    progress_window = grh.Image(label='Preview', show_label=True, visible=False, height=768,
+                                                elem_classes=['main_view'])
+                    progress_gallery = gr.Gallery(label='Finished Images', show_label=True, object_fit='contain',
+                                                height=768, visible=False, elem_classes=['main_view', 'image_gallery'])
+                progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False,
+                                        elem_id='progress-bar', elem_classes='progress-bar')
+                gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', visible=True, height=768,
+                                    elem_classes=['resizable_area', 'main_view', 'final_gallery', 'image_gallery'],
+                                    elem_id='final_gallery')
+                with gr.Row(elem_classes='type_row'):
+                    with gr.Column(scale=17):
+                        prompt = gr.Textbox(show_label=False, placeholder="Type prompt here or paste parameters.", elem_id='positive_prompt',
+                                            container=False, autofocus=True, elem_classes='type_row', lines=1024)
+
+                        default_prompt = modules.config.default_prompt
+                        if isinstance(default_prompt, str) and default_prompt != '':
+                            shared.gradio_root.load(lambda: default_prompt, outputs=prompt)
+
+                    with gr.Column(scale=3, min_width=0):
+                        generate_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', elem_id='generate_button', visible=True)
+                        load_parameter_button = gr.Button(label="Load Parameters", value="Load Parameters", elem_classes='type_row', elem_id='load_parameter_button', visible=False)
+                        skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False)
+                        stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False)
+
+                        def stop_clicked(currentTask):
+                            import ldm_patched.modules.model_management as model_management
+                            currentTask.last_stop = 'stop'
+                            if (currentTask.processing):
+                                model_management.interrupt_current_processing()
+                            return currentTask
+
+                        def skip_clicked(currentTask):
+                            import ldm_patched.modules.model_management as model_management
+                            currentTask.last_stop = 'skip'
+                            if (currentTask.processing):
+                                model_management.interrupt_current_processing()
+                            return currentTask
+
+                        stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
+                        skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False)
+                with gr.Row(elem_classes='advanced_check_row'):
+                    input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
+                    advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
+                with gr.Row(visible=False) as image_input_panel:
+                    with gr.Tabs():
+                        with gr.TabItem(label='Upscale or Variation') as uov_tab:
+                            with gr.Row():
                                 with gr.Column():
-                                    ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
-                                    ip_images.append(ip_image)
-                                    ip_ctrls.append(ip_image)
-                                    with gr.Column(visible=False) as ad_col:
-                                        with gr.Row():
-                                            default_end, default_weight = flags.default_parameters[flags.default_ip]
-
-                                            ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end)
-                                            ip_stops.append(ip_stop)
-                                            ip_ctrls.append(ip_stop)
-
-                                            ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight)
-                                            ip_weights.append(ip_weight)
-                                            ip_ctrls.append(ip_weight)
-
-                                        ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False)
-                                        ip_types.append(ip_type)
-                                        ip_ctrls.append(ip_type)
-
-                                        ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False)
-                                    ip_ad_cols.append(ad_col)
-                        ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
-                        gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href="https://github.com/lllyasviel/Fooocus/discussions/557" target="_blank">\U0001F4D4 Document</a>')
-
-                        def ip_advance_checked(x):
-                            return [gr.update(visible=x)] * len(ip_ad_cols) + \
-                                [flags.default_ip] * len(ip_types) + \
-                                [flags.default_parameters[flags.default_ip][0]] * len(ip_stops) + \
-                                [flags.default_parameters[flags.default_ip][1]] * len(ip_weights)
-
-                        ip_advanced.change(ip_advance_checked, inputs=ip_advanced,
-                                           outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
-                                           queue=False, show_progress=False)
-                    with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
-                        with gr.Row():
-                            inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
-                            inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', height=500, visible=False)
-
-                        with gr.Row():
-                            inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
-                            outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
-                            inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method')
-                        example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts, label='Additional Prompt Quick List', components=[inpaint_additional_prompt], visible=False)
-                        gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Document</a>')
-                        example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
-                    with gr.TabItem(label='Describe') as desc_tab:
-                        with gr.Row():
-                            with gr.Column():
-                                desc_input_image = grh.Image(label='Drag any image to here', source='upload', type='numpy')
+                                    uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy')
+                                with gr.Column():
+                                    uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
+                                    gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">\U0001F4D4 Document</a>')
+                        with gr.TabItem(label='Image Prompt') as ip_tab:
+                            with gr.Row():
+                                ip_images = []
+                                ip_types = []
+                                ip_stops = []
+                                ip_weights = []
+                                ip_ctrls = []
+                                ip_ad_cols = []
+                                for _ in range(flags.controlnet_image_count):
+                                    with gr.Column():
+                                        ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
+                                        ip_images.append(ip_image)
+                                        ip_ctrls.append(ip_image)
+                                        with gr.Column(visible=False) as ad_col:
+                                            with gr.Row():
+                                                default_end, default_weight = flags.default_parameters[flags.default_ip]
+
+                                                ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end)
+                                                ip_stops.append(ip_stop)
+                                                ip_ctrls.append(ip_stop)
+
+                                                ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight)
+                                                ip_weights.append(ip_weight)
+                                                ip_ctrls.append(ip_weight)
+
+                                            ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False)
+                                            ip_types.append(ip_type)
+                                            ip_ctrls.append(ip_type)
+
+                                            ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False)
+                                        ip_ad_cols.append(ad_col)
+                            ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
+                            gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href="https://github.com/lllyasviel/Fooocus/discussions/557" target="_blank">\U0001F4D4 Document</a>')
+
+                            def ip_advance_checked(x):
+                                return [gr.update(visible=x)] * len(ip_ad_cols) + \
+                                    [flags.default_ip] * len(ip_types) + \
+                                    [flags.default_parameters[flags.default_ip][0]] * len(ip_stops) + \
+                                    [flags.default_parameters[flags.default_ip][1]] * len(ip_weights)
+
+                            ip_advanced.change(ip_advance_checked, inputs=ip_advanced,
+                                            outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
+                                            queue=False, show_progress=False)
+                        with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
+                            with gr.Row():
+                                inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
+                                inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', height=500, visible=False)
+
+                            with gr.Row():
+                                inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
+                                outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
+                                inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method')
+                            example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts, label='Additional Prompt Quick List', components=[inpaint_additional_prompt], visible=False)
+                            gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Document</a>')
+                            example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
+                        with gr.TabItem(label='Describe') as desc_tab:
+                            with gr.Row():
+                                with gr.Column():
+                                    desc_input_image = grh.Image(label='Drag any image to here', source='upload', type='numpy')
+                                with gr.Column():
+                                    desc_method = gr.Radio(
+                                        label='Content Type',
+                                        choices=[flags.desc_type_photo, flags.desc_type_anime],
+                                        value=flags.desc_type_photo)
+                                    desc_btn = gr.Button(value='Describe this Image into Prompt')
+                                    gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>')
+                        with gr.TabItem(label='Metadata') as load_tab:
                             with gr.Column():
-                                desc_method = gr.Radio(
-                                    label='Content Type',
-                                    choices=[flags.desc_type_photo, flags.desc_type_anime],
-                                    value=flags.desc_type_photo)
-                                desc_btn = gr.Button(value='Describe this Image into Prompt')
-                                gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>')
-                    with gr.TabItem(label='Metadata') as load_tab:
-                        with gr.Column():
-                            metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
-                            metadata_json = gr.JSON(label='Metadata')
-                            metadata_import_button = gr.Button(value='Apply Metadata')
-
-                        def trigger_metadata_preview(filepath):
-                            parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
-
-                            results = {}
-                            if parameters is not None:
-                                results['parameters'] = parameters
-
-                            if isinstance(metadata_scheme, flags.MetadataScheme):
-                                results['metadata_scheme'] = metadata_scheme.value
-
-                            return results
-
-                        metadata_input_image.upload(trigger_metadata_preview, inputs=metadata_input_image,
-                                                    outputs=metadata_json, queue=False, show_progress=True)
-
-            switch_js = "(x) => {if(x){viewer_to_bottom(100);viewer_to_bottom(500);}else{viewer_to_top();} return x;}"
-            down_js = "() => {viewer_to_bottom();}"
-
-            input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox,
-                                        outputs=image_input_panel, queue=False, show_progress=False, _js=switch_js)
-            ip_advanced.change(lambda: None, queue=False, show_progress=False, _js=down_js)
-
-            current_tab = gr.Textbox(value='uov', visible=False)
-            uov_tab.select(lambda: 'uov', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
-            inpaint_tab.select(lambda: 'inpaint', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
-            ip_tab.select(lambda: 'ip', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
-            desc_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
-
-        with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
-            with gr.Tab(label='Setting'):
-                if not args_manager.args.disable_preset_selection:
-                    preset_selection = gr.Radio(label='Preset',
-                                                choices=modules.config.available_presets,
-                                                value=args_manager.args.preset if args_manager.args.preset else "initial",
-                                                interactive=True)
-                performance_selection = gr.Radio(label='Performance',
-                                                 choices=flags.Performance.list(),
-                                                 value=modules.config.default_performance)
-                aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios,
-                                                   value=modules.config.default_aspect_ratio, info='width × height',
-                                                   elem_classes='aspect_ratios')
-                image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
-
-                output_format = gr.Radio(label='Output Format',
-                                            choices=flags.OutputFormat.list(),
-                                            value=modules.config.default_output_format)
-
-                negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
-                                             info='Describing what you do not want to see.', lines=2,
-                                             elem_id='negative_prompt',
-                                             value=modules.config.default_prompt_negative)
-                seed_random = gr.Checkbox(label='Random', value=True)
-                image_seed = gr.Textbox(label='Seed', value=0, max_lines=1, visible=False) # workaround for https://github.com/gradio-app/gradio/issues/5354
-
-                def random_checked(r):
-                    return gr.update(visible=not r)
-
-                def refresh_seed(r, seed_string):
-                    if r:
-                        return random.randint(constants.MIN_SEED, constants.MAX_SEED)
-                    else:
-                        try:
-                            seed_value = int(seed_string)
-                            if constants.MIN_SEED <= seed_value <= constants.MAX_SEED:
-                                return seed_value
-                        except ValueError:
-                            pass
-                        return random.randint(constants.MIN_SEED, constants.MAX_SEED)
-
-                seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed],
-                                   queue=False, show_progress=False)
-
-                def update_history_link():
-                    if args_manager.args.disable_image_log:
-                        return gr.update(value='')
-                    
-                    return gr.update(value=f'<a href="file={get_current_html_path(output_format)}" target="_blank">\U0001F4DA History Log</a>')
-
-                history_link = gr.HTML()
-                shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
-
-            with gr.Tab(label='Style', elem_classes=['style_selections_tab']):
-                style_sorter.try_load_sorted_styles(
-                    style_names=legal_style_names,
-                    default_selected=modules.config.default_styles)
-
-                style_search_bar = gr.Textbox(show_label=False, container=False,
-                                              placeholder="\U0001F50E Type here to search styles ...",
-                                              value="",
-                                              label='Search Styles')
-                style_selections = gr.CheckboxGroup(show_label=False, container=False,
-                                                    choices=copy.deepcopy(style_sorter.all_styles),
-                                                    value=copy.deepcopy(modules.config.default_styles),
-                                                    label='Selected Styles',
-                                                    elem_classes=['style_selections'])
-                gradio_receiver_style_selections = gr.Textbox(elem_id='gradio_receiver_style_selections', visible=False)
-
-                shared.gradio_root.load(lambda: gr.update(choices=copy.deepcopy(style_sorter.all_styles)),
-                                        outputs=style_selections)
-
-                style_search_bar.change(style_sorter.search_styles,
-                                        inputs=[style_selections, style_search_bar],
-                                        outputs=style_selections,
-                                        queue=False,
-                                        show_progress=False).then(
-                    lambda: None, _js='()=>{refresh_style_localization();}')
-
-                gradio_receiver_style_selections.input(style_sorter.sort_styles,
-                                                       inputs=style_selections,
-                                                       outputs=style_selections,
-                                                       queue=False,
-                                                       show_progress=False).then(
-                    lambda: None, _js='()=>{refresh_style_localization();}')
-
-            with gr.Tab(label='Model'):
-                with gr.Group():
-                    with gr.Row():
-                        base_model = gr.Dropdown(label='Base Model (SDXL only)', choices=modules.config.model_filenames, value=modules.config.default_base_model_name, show_label=True)
-                        refiner_model = gr.Dropdown(label='Refiner (SDXL or SD 1.5)', choices=['None'] + modules.config.model_filenames, value=modules.config.default_refiner_model_name, show_label=True)
+                                metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
+                                metadata_json = gr.JSON(label='Metadata')
+                                metadata_import_button = gr.Button(value='Apply Metadata')
 
-                    refiner_switch = gr.Slider(label='Refiner Switch At', minimum=0.1, maximum=1.0, step=0.0001,
-                                               info='Use 0.4 for SD1.5 realistic models; '
-                                                    'or 0.667 for SD1.5 anime models; '
-                                                    'or 0.8 for XL-refiners; '
-                                                    'or any value for switching two SDXL models.',
-                                               value=modules.config.default_refiner_switch,
-                                               visible=modules.config.default_refiner_model_name != 'None')
+                            def trigger_metadata_preview(filepath):
+                                parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
 
-                    refiner_model.change(lambda x: gr.update(visible=x != 'None'),
-                                         inputs=refiner_model, outputs=refiner_switch, show_progress=False, queue=False)
+                                results = {}
+                                if parameters is not None:
+                                    results['parameters'] = parameters
 
-                with gr.Group():
-                    lora_ctrls = []
+                                if isinstance(metadata_scheme, flags.MetadataScheme):
+                                    results['metadata_scheme'] = metadata_scheme.value
 
-                    for i, (enabled, filename, weight) in enumerate(modules.config.default_loras):
-                        with gr.Row():
-                            lora_enabled = gr.Checkbox(label='Enable', value=enabled,
-                                                       elem_classes=['lora_enable', 'min_check'], scale=1)
-                            lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
-                                                     choices=['None'] + modules.config.lora_filenames, value=filename,
-                                                     elem_classes='lora_model', scale=5)
-                            lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
-                                                    maximum=modules.config.default_loras_max_weight, step=0.01, value=weight,
-                                                    elem_classes='lora_weight', scale=5)
-                            lora_ctrls += [lora_enabled, lora_model, lora_weight]
+                                return results
 
-                with gr.Row():
-                    refresh_files = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
-            with gr.Tab(label='Advanced'):
-                guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01,
-                                           value=modules.config.default_cfg_scale,
-                                           info='Higher value means style is cleaner, vivider, and more artistic.')
-                sharpness = gr.Slider(label='Image Sharpness', minimum=0.0, maximum=30.0, step=0.001,
-                                      value=modules.config.default_sample_sharpness,
-                                      info='Higher value means image and texture are sharper.')
-                gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117" target="_blank">\U0001F4D4 Document</a>')
-                dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False)
-
-                with gr.Column(visible=False) as dev_tools:
-                    with gr.Tab(label='Debug Tools'):
-                        adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0,
-                                                        step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ')
-                        adm_scaler_negative = gr.Slider(label='Negative ADM Guidance Scaler', minimum=0.1, maximum=3.0,
-                                                        step=0.001, value=0.8, info='The scaler multiplied to negative ADM (use 1.0 to disable). ')
-                        adm_scaler_end = gr.Slider(label='ADM Guidance End At Step', minimum=0.0, maximum=1.0,
-                                                   step=0.001, value=0.3,
-                                                   info='When to end the guidance from positive/negative ADM. ')
-
-                        refiner_swap_method = gr.Dropdown(label='Refiner swap method', value=flags.refiner_swap_method,
-                                                          choices=['joint', 'separate', 'vae'])
-
-                        adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01,
-                                                 value=modules.config.default_cfg_tsnr,
-                                                 info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
-                                                      '(effective when real CFG > mimicked CFG).')
-                        sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
-                                                   value=modules.config.default_sampler)
-                        scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
-                                                     value=modules.config.default_scheduler)
-
-                        generate_image_grid = gr.Checkbox(label='Generate Image Grid for Each Batch',
-                                                          info='(Experimental) This may cause performance problems on some computers and certain internet conditions.',
-                                                          value=False)
-
-                        overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step',
-                                                   minimum=-1, maximum=200, step=1,
-                                                   value=modules.config.default_overwrite_step,
-                                                   info='Set as -1 to disable. For developer debugging.')
-                        overwrite_switch = gr.Slider(label='Forced Overwrite of Refiner Switch Step',
-                                                     minimum=-1, maximum=200, step=1,
-                                                     value=modules.config.default_overwrite_switch,
-                                                     info='Set as -1 to disable. For developer debugging.')
-                        overwrite_width = gr.Slider(label='Forced Overwrite of Generating Width',
-                                                    minimum=-1, maximum=2048, step=1, value=-1,
-                                                    info='Set as -1 to disable. For developer debugging. '
-                                                         'Results will be worse for non-standard numbers that SDXL is not trained on.')
-                        overwrite_height = gr.Slider(label='Forced Overwrite of Generating Height',
-                                                     minimum=-1, maximum=2048, step=1, value=-1,
-                                                     info='Set as -1 to disable. For developer debugging. '
-                                                          'Results will be worse for non-standard numbers that SDXL is not trained on.')
-                        overwrite_vary_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Vary"',
-                                                            minimum=-1, maximum=1.0, step=0.001, value=-1,
-                                                            info='Set as negative number to disable. For developer debugging.')
-                        overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"',
-                                                               minimum=-1, maximum=1.0, step=0.001, value=-1,
-                                                               info='Set as negative number to disable. For developer debugging.')
-                        disable_preview = gr.Checkbox(label='Disable Preview', value=False,
-                                                      info='Disable preview during generation.')
-                        disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
-                                                      value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
-                                                      interactive=modules.config.default_performance != flags.Performance.EXTREME_SPEED.value,
-                                                      info='Disable intermediate results during generation, only show final gallery.')
-                        disable_seed_increment = gr.Checkbox(label='Disable seed increment',
-                                                             info='Disable automatic seed increment when image number is > 1.',
-                                                             value=False)
-                        read_wildcards_in_order = gr.Checkbox(label="Read wildcards in order", value=False)
-
-                        if not args_manager.args.disable_metadata:
-                            save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
-                                                                  info='Adds parameters to generated images allowing manual regeneration.')
-                            metadata_scheme = gr.Radio(label='Metadata Scheme', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
-                                                       info='Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.',
-                                                       visible=modules.config.default_save_metadata_to_images)
-
-                            save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme], 
-                                                           queue=False, show_progress=False)
-
-                    with gr.Tab(label='Control'):
-                        debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False,
-                                                                info='See the results from preprocessors.')
-                        skipping_cn_preprocessor = gr.Checkbox(label='Skip Preprocessors', value=False,
-                                                               info='Do not preprocess images. (Inputs are already canny/depth/cropped-face/etc.)')
-
-                        mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='Mixing Image Prompt and Vary/Upscale',
-                                                                           value=False)
-                        mixing_image_prompt_and_inpaint = gr.Checkbox(label='Mixing Image Prompt and Inpaint',
-                                                                      value=False)
-
-                        controlnet_softness = gr.Slider(label='Softness of ControlNet', minimum=0.0, maximum=1.0,
-                                                        step=0.001, value=0.25,
-                                                        info='Similar to the Control Mode in A1111 (use 0.0 to disable). ')
-
-                        with gr.Tab(label='Canny'):
-                            canny_low_threshold = gr.Slider(label='Canny Low Threshold', minimum=1, maximum=255,
-                                                            step=1, value=64)
-                            canny_high_threshold = gr.Slider(label='Canny High Threshold', minimum=1, maximum=255,
-                                                             step=1, value=128)
-
-                    with gr.Tab(label='Inpaint'):
-                        debugging_inpaint_preprocessor = gr.Checkbox(label='Debug Inpaint Preprocessing', value=False)
-                        inpaint_disable_initial_latent = gr.Checkbox(label='Disable initial latent in inpaint', value=False)
-                        inpaint_engine = gr.Dropdown(label='Inpaint Engine',
-                                                     value=modules.config.default_inpaint_engine_version,
-                                                     choices=flags.inpaint_engine_versions,
-                                                     info='Version of Fooocus inpaint model')
-                        inpaint_strength = gr.Slider(label='Inpaint Denoising Strength',
-                                                     minimum=0.0, maximum=1.0, step=0.001, value=1.0,
-                                                     info='Same as the denoising strength in A1111 inpaint. '
-                                                          'Only used in inpaint, not used in outpaint. '
-                                                          '(Outpaint always use 1.0)')
-                        inpaint_respective_field = gr.Slider(label='Inpaint Respective Field',
-                                                             minimum=0.0, maximum=1.0, step=0.001, value=0.618,
-                                                             info='The area to inpaint. '
-                                                                  'Value 0 is same as "Only Masked" in A1111. '
-                                                                  'Value 1 is same as "Whole Image" in A1111. '
-                                                                  'Only used in inpaint, not used in outpaint. '
-                                                                  '(Outpaint always use 1.0)')
-                        inpaint_erode_or_dilate = gr.Slider(label='Mask Erode or Dilate',
-                                                            minimum=-64, maximum=64, step=1, value=0,
-                                                            info='Positive value will make white area in the mask larger, '
-                                                                 'negative value will make white area smaller.'
-                                                                 '(default is 0, always process before any mask invert)')
-                        inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
-                        invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
-
-                        inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
-                                         inpaint_strength, inpaint_respective_field,
-                                         inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
-
-                        inpaint_mask_upload_checkbox.change(lambda x: gr.update(visible=x),
-                                                           inputs=inpaint_mask_upload_checkbox,
-                                                           outputs=inpaint_mask_image, queue=False, show_progress=False)
-
-                    with gr.Tab(label='FreeU'):
-                        freeu_enabled = gr.Checkbox(label='Enabled', value=False)
-                        freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01)
-                        freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02)
-                        freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99)
-                        freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
-                        freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
-
-                def dev_mode_checked(r):
-                    return gr.update(visible=r)
-
-                dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools],
-                                queue=False, show_progress=False)
-
-                def refresh_files_clicked():
-                    modules.config.update_files()
-                    results = [gr.update(choices=modules.config.model_filenames)]
-                    results += [gr.update(choices=['None'] + modules.config.model_filenames)]
+                            metadata_input_image.upload(trigger_metadata_preview, inputs=metadata_input_image,
+                                                        outputs=metadata_json, queue=False, show_progress=True)
+
+                switch_js = "(x) => {if(x){viewer_to_bottom(100);viewer_to_bottom(500);}else{viewer_to_top();} return x;}"
+                down_js = "() => {viewer_to_bottom();}"
+
+                input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox,
+                                            outputs=image_input_panel, queue=False, show_progress=False, _js=switch_js)
+                ip_advanced.change(lambda: None, queue=False, show_progress=False, _js=down_js)
+
+                current_tab = gr.Textbox(value='uov', visible=False)
+                uov_tab.select(lambda: 'uov', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+                inpaint_tab.select(lambda: 'inpaint', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+                ip_tab.select(lambda: 'ip', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+                desc_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+
+            with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
+                with gr.Tab(label='Setting'):
                     if not args_manager.args.disable_preset_selection:
-                        results += [gr.update(choices=modules.config.available_presets)]
-                    for i in range(modules.config.default_max_lora_number):
-                        results += [gr.update(interactive=True),
-                                    gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
-                    return results
-
-                refresh_files_output = [base_model, refiner_model]
-                if not args_manager.args.disable_preset_selection:
-                    refresh_files_output += [preset_selection]
-                refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
+                        preset_selection = gr.Radio(label='Preset',
+                                                    choices=modules.config.available_presets,
+                                                    value=args_manager.args.preset if args_manager.args.preset else "initial",
+                                                    interactive=True)
+                    performance_selection = gr.Radio(label='Performance',
+                                                    choices=flags.Performance.list(),
+                                                    value=modules.config.default_performance)
+                    aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios,
+                                                    value=modules.config.default_aspect_ratio, info='width × height',
+                                                    elem_classes='aspect_ratios')
+                    image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
+
+                    output_format = gr.Radio(label='Output Format',
+                                                choices=flags.OutputFormat.list(),
+                                                value=modules.config.default_output_format)
+
+                    negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
+                                                info='Describing what you do not want to see.', lines=2,
+                                                elem_id='negative_prompt',
+                                                value=modules.config.default_prompt_negative)
+                    seed_random = gr.Checkbox(label='Random', value=True)
+                    image_seed = gr.Textbox(label='Seed', value=0, max_lines=1, visible=False) # workaround for https://github.com/gradio-app/gradio/issues/5354
+
+                    def random_checked(r):
+                        return gr.update(visible=not r)
+
+                    def refresh_seed(r, seed_string):
+                        if r:
+                            return random.randint(constants.MIN_SEED, constants.MAX_SEED)
+                        else:
+                            try:
+                                seed_value = int(seed_string)
+                                if constants.MIN_SEED <= seed_value <= constants.MAX_SEED:
+                                    return seed_value
+                            except ValueError:
+                                pass
+                            return random.randint(constants.MIN_SEED, constants.MAX_SEED)
+
+                    seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed],
                                     queue=False, show_progress=False)
 
-        state_is_generating = gr.State(False)
-
-        load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
-                             performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
-                             overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
-                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
-                             refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
-                             generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
-
-        if not args_manager.args.disable_preset_selection:
-            def preset_selection_change(preset, is_generating):
-                preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
-                preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
-
-                default_model = preset_prepared.get('base_model')
-                previous_default_models = preset_prepared.get('previous_default_models', [])
-                checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
-                embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
-                lora_downloads = preset_prepared.get('lora_downloads', {})
-
-                preset_prepared['base_model'], preset_prepared['lora_downloads'] = launch.download_models(
-                    default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads)
-
-                if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
-                    del preset_prepared['prompt']
-
-                return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
-
-            preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
-                .then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
-
-        performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
-                                               [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
-                                               [gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
-                                     inputs=performance_selection,
-                                     outputs=[
-                                         guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,
-                                         adm_scaler_negative, refiner_switch, refiner_model, sampler_name,
-                                         scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
-                                     ], queue=False, show_progress=False)
-        
-        output_format.input(lambda x: gr.update(output_format=x), inputs=output_format)
-        
-        advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column,
-                                 queue=False, show_progress=False) \
-            .then(fn=lambda: None, _js='refresh_grid_delayed', queue=False, show_progress=False)
-
-        def inpaint_mode_change(mode):
-            assert mode in modules.flags.inpaint_options
-
-            # inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
-            # inpaint_disable_initial_latent, inpaint_engine,
-            # inpaint_strength, inpaint_respective_field
-
-            if mode == modules.flags.inpaint_option_detail:
-                return [
-                    gr.update(visible=True), gr.update(visible=False, value=[]),
-                    gr.Dataset.update(visible=True, samples=modules.config.example_inpaint_prompts),
-                    False, 'None', 0.5, 0.0
-                ]
+                    def update_history_link():
+                        if args_manager.args.disable_image_log:
+                            return gr.update(value='')
+                        
+                        return gr.update(value=f'<a href="file={get_current_html_path(output_format)}" target="_blank">\U0001F4DA History Log</a>')
+
+                    history_link = gr.HTML()
+                    shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
+
+                with gr.Tab(label='Style', elem_classes=['style_selections_tab']):
+                    style_sorter.try_load_sorted_styles(
+                        style_names=legal_style_names,
+                        default_selected=modules.config.default_styles)
+
+                    style_search_bar = gr.Textbox(show_label=False, container=False,
+                                                placeholder="\U0001F50E Type here to search styles ...",
+                                                value="",
+                                                label='Search Styles')
+                    style_selections = gr.CheckboxGroup(show_label=False, container=False,
+                                                        choices=copy.deepcopy(style_sorter.all_styles),
+                                                        value=copy.deepcopy(modules.config.default_styles),
+                                                        label='Selected Styles',
+                                                        elem_classes=['style_selections'])
+                    gradio_receiver_style_selections = gr.Textbox(elem_id='gradio_receiver_style_selections', visible=False)
+
+                    shared.gradio_root.load(lambda: gr.update(choices=copy.deepcopy(style_sorter.all_styles)),
+                                            outputs=style_selections)
+
+                    style_search_bar.change(style_sorter.search_styles,
+                                            inputs=[style_selections, style_search_bar],
+                                            outputs=style_selections,
+                                            queue=False,
+                                            show_progress=False).then(
+                        lambda: None, _js='()=>{refresh_style_localization();}')
+
+                    gradio_receiver_style_selections.input(style_sorter.sort_styles,
+                                                        inputs=style_selections,
+                                                        outputs=style_selections,
+                                                        queue=False,
+                                                        show_progress=False).then(
+                        lambda: None, _js='()=>{refresh_style_localization();}')
+
+                with gr.Tab(label='Model'):
+                    with gr.Group():
+                        with gr.Row():
+                            base_model = gr.Dropdown(label='Base Model (SDXL only)', choices=modules.config.model_filenames, value=modules.config.default_base_model_name, show_label=True)
+                            refiner_model = gr.Dropdown(label='Refiner (SDXL or SD 1.5)', choices=['None'] + modules.config.model_filenames, value=modules.config.default_refiner_model_name, show_label=True)
+
+                        refiner_switch = gr.Slider(label='Refiner Switch At', minimum=0.1, maximum=1.0, step=0.0001,
+                                                info='Use 0.4 for SD1.5 realistic models; '
+                                                        'or 0.667 for SD1.5 anime models; '
+                                                        'or 0.8 for XL-refiners; '
+                                                        'or any value for switching two SDXL models.',
+                                                value=modules.config.default_refiner_switch,
+                                                visible=modules.config.default_refiner_model_name != 'None')
+
+                        refiner_model.change(lambda x: gr.update(visible=x != 'None'),
+                                            inputs=refiner_model, outputs=refiner_switch, show_progress=False, queue=False)
+
+                    with gr.Group():
+                        lora_ctrls = []
+
+                        for i, (enabled, filename, weight) in enumerate(modules.config.default_loras):
+                            with gr.Row():
+                                lora_enabled = gr.Checkbox(label='Enable', value=enabled,
+                                                        elem_classes=['lora_enable', 'min_check'], scale=1)
+                                lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
+                                                        choices=['None'] + modules.config.lora_filenames, value=filename,
+                                                        elem_classes='lora_model', scale=5)
+                                lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
+                                                        maximum=modules.config.default_loras_max_weight, step=0.01, value=weight,
+                                                        elem_classes='lora_weight', scale=5)
+                                lora_ctrls += [lora_enabled, lora_model, lora_weight]
+
+                    with gr.Row():
+                        refresh_files = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
+                with gr.Tab(label='Advanced'):
+                    guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01,
+                                            value=modules.config.default_cfg_scale,
+                                            info='Higher value means style is cleaner, vivider, and more artistic.')
+                    sharpness = gr.Slider(label='Image Sharpness', minimum=0.0, maximum=30.0, step=0.001,
+                                        value=modules.config.default_sample_sharpness,
+                                        info='Higher value means image and texture are sharper.')
+                    gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117" target="_blank">\U0001F4D4 Document</a>')
+                    dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False)
+
+                    with gr.Column(visible=False) as dev_tools:
+                        with gr.Tab(label='Debug Tools'):
+                            adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0,
+                                                            step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ')
+                            adm_scaler_negative = gr.Slider(label='Negative ADM Guidance Scaler', minimum=0.1, maximum=3.0,
+                                                            step=0.001, value=0.8, info='The scaler multiplied to negative ADM (use 1.0 to disable). ')
+                            adm_scaler_end = gr.Slider(label='ADM Guidance End At Step', minimum=0.0, maximum=1.0,
+                                                    step=0.001, value=0.3,
+                                                    info='When to end the guidance from positive/negative ADM. ')
+
+                            refiner_swap_method = gr.Dropdown(label='Refiner swap method', value=flags.refiner_swap_method,
+                                                            choices=['joint', 'separate', 'vae'])
+
+                            adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01,
+                                                    value=modules.config.default_cfg_tsnr,
+                                                    info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
+                                                        '(effective when real CFG > mimicked CFG).')
+                            sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
+                                                    value=modules.config.default_sampler)
+                            scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
+                                                        value=modules.config.default_scheduler)
+
+                            generate_image_grid = gr.Checkbox(label='Generate Image Grid for Each Batch',
+                                                            info='(Experimental) This may cause performance problems on some computers and certain internet conditions.',
+                                                            value=False)
+
+                            overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step',
+                                                    minimum=-1, maximum=200, step=1,
+                                                    value=modules.config.default_overwrite_step,
+                                                    info='Set as -1 to disable. For developer debugging.')
+                            overwrite_switch = gr.Slider(label='Forced Overwrite of Refiner Switch Step',
+                                                        minimum=-1, maximum=200, step=1,
+                                                        value=modules.config.default_overwrite_switch,
+                                                        info='Set as -1 to disable. For developer debugging.')
+                            overwrite_width = gr.Slider(label='Forced Overwrite of Generating Width',
+                                                        minimum=-1, maximum=2048, step=1, value=-1,
+                                                        info='Set as -1 to disable. For developer debugging. '
+                                                            'Results will be worse for non-standard numbers that SDXL is not trained on.')
+                            overwrite_height = gr.Slider(label='Forced Overwrite of Generating Height',
+                                                        minimum=-1, maximum=2048, step=1, value=-1,
+                                                        info='Set as -1 to disable. For developer debugging. '
+                                                            'Results will be worse for non-standard numbers that SDXL is not trained on.')
+                            overwrite_vary_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Vary"',
+                                                                minimum=-1, maximum=1.0, step=0.001, value=-1,
+                                                                info='Set as negative number to disable. For developer debugging.')
+                            overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"',
+                                                                minimum=-1, maximum=1.0, step=0.001, value=-1,
+                                                                info='Set as negative number to disable. For developer debugging.')
+                            disable_preview = gr.Checkbox(label='Disable Preview', value=False,
+                                                        info='Disable preview during generation.')
+                            disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
+                                                        value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
+                                                        interactive=modules.config.default_performance != flags.Performance.EXTREME_SPEED.value,
+                                                        info='Disable intermediate results during generation, only show final gallery.')
+                            disable_seed_increment = gr.Checkbox(label='Disable seed increment',
+                                                                info='Disable automatic seed increment when image number is > 1.',
+                                                                value=False)
+                            read_wildcards_in_order = gr.Checkbox(label="Read wildcards in order", value=False)
+
+                            if not args_manager.args.disable_metadata:
+                                save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
+                                                                    info='Adds parameters to generated images allowing manual regeneration.')
+                                metadata_scheme = gr.Radio(label='Metadata Scheme', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
+                                                        info='Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.',
+                                                        visible=modules.config.default_save_metadata_to_images)
+
+                                save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme], 
+                                                            queue=False, show_progress=False)
+
+                        with gr.Tab(label='Control'):
+                            debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False,
+                                                                    info='See the results from preprocessors.')
+                            skipping_cn_preprocessor = gr.Checkbox(label='Skip Preprocessors', value=False,
+                                                                info='Do not preprocess images. (Inputs are already canny/depth/cropped-face/etc.)')
+
+                            mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='Mixing Image Prompt and Vary/Upscale',
+                                                                            value=False)
+                            mixing_image_prompt_and_inpaint = gr.Checkbox(label='Mixing Image Prompt and Inpaint',
+                                                                        value=False)
+
+                            controlnet_softness = gr.Slider(label='Softness of ControlNet', minimum=0.0, maximum=1.0,
+                                                            step=0.001, value=0.25,
+                                                            info='Similar to the Control Mode in A1111 (use 0.0 to disable). ')
+
+                            with gr.Tab(label='Canny'):
+                                canny_low_threshold = gr.Slider(label='Canny Low Threshold', minimum=1, maximum=255,
+                                                                step=1, value=64)
+                                canny_high_threshold = gr.Slider(label='Canny High Threshold', minimum=1, maximum=255,
+                                                                step=1, value=128)
+
+                        with gr.Tab(label='Inpaint'):
+                            debugging_inpaint_preprocessor = gr.Checkbox(label='Debug Inpaint Preprocessing', value=False)
+                            inpaint_disable_initial_latent = gr.Checkbox(label='Disable initial latent in inpaint', value=False)
+                            inpaint_engine = gr.Dropdown(label='Inpaint Engine',
+                                                        value=modules.config.default_inpaint_engine_version,
+                                                        choices=flags.inpaint_engine_versions,
+                                                        info='Version of Fooocus inpaint model')
+                            inpaint_strength = gr.Slider(label='Inpaint Denoising Strength',
+                                                        minimum=0.0, maximum=1.0, step=0.001, value=1.0,
+                                                        info='Same as the denoising strength in A1111 inpaint. '
+                                                            'Only used in inpaint, not used in outpaint. '
+                                                            '(Outpaint always use 1.0)')
+                            inpaint_respective_field = gr.Slider(label='Inpaint Respective Field',
+                                                                minimum=0.0, maximum=1.0, step=0.001, value=0.618,
+                                                                info='The area to inpaint. '
+                                                                    'Value 0 is same as "Only Masked" in A1111. '
+                                                                    'Value 1 is same as "Whole Image" in A1111. '
+                                                                    'Only used in inpaint, not used in outpaint. '
+                                                                    '(Outpaint always use 1.0)')
+                            inpaint_erode_or_dilate = gr.Slider(label='Mask Erode or Dilate',
+                                                                minimum=-64, maximum=64, step=1, value=0,
+                                                                info='Positive value will make white area in the mask larger, '
+                                                                    'negative value will make white area smaller.'
+                                                                    '(default is 0, always process before any mask invert)')
+                            inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
+                            invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
+
+                            inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
+                                            inpaint_strength, inpaint_respective_field,
+                                            inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
+
+                            inpaint_mask_upload_checkbox.change(lambda x: gr.update(visible=x),
+                                                            inputs=inpaint_mask_upload_checkbox,
+                                                            outputs=inpaint_mask_image, queue=False, show_progress=False)
+
+                        with gr.Tab(label='FreeU'):
+                            freeu_enabled = gr.Checkbox(label='Enabled', value=False)
+                            freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01)
+                            freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02)
+                            freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99)
+                            freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
+                            freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
+
+                    def dev_mode_checked(r):
+                        return gr.update(visible=r)
+
+                    dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools],
+                                    queue=False, show_progress=False)
+
+                    def refresh_files_clicked():
+                        modules.config.update_files()
+                        results = [gr.update(choices=modules.config.model_filenames)]
+                        results += [gr.update(choices=['None'] + modules.config.model_filenames)]
+                        if not args_manager.args.disable_preset_selection:
+                            results += [gr.update(choices=modules.config.available_presets)]
+                        for i in range(modules.config.default_max_lora_number):
+                            results += [gr.update(interactive=True),
+                                        gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
+                        return results
+
+                    refresh_files_output = [base_model, refiner_model]
+                    if not args_manager.args.disable_preset_selection:
+                        refresh_files_output += [preset_selection]
+                    refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
+                                        queue=False, show_progress=False)
+
+            state_is_generating = gr.State(False)
+
+            load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
+                                performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
+                                overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
+                                adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
+                                refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
+                                generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+
+            if not args_manager.args.disable_preset_selection:
+                def preset_selection_change(preset, is_generating):
+                    preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
+                    preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
+
+                    default_model = preset_prepared.get('base_model')
+                    previous_default_models = preset_prepared.get('previous_default_models', [])
+                    checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
+                    embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
+                    lora_downloads = preset_prepared.get('lora_downloads', {})
+
+                    preset_prepared['base_model'], preset_prepared['lora_downloads'] = launch.download_models(
+                        default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads)
+
+                    if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
+                        del preset_prepared['prompt']
+
+                    return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
+
+                preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
+                    .then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
+
+            performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
+                                                [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
+                                                [gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
+                                        inputs=performance_selection,
+                                        outputs=[
+                                            guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,
+                                            adm_scaler_negative, refiner_switch, refiner_model, sampler_name,
+                                            scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
+                                        ], queue=False, show_progress=False)
+            
+            output_format.input(lambda x: gr.update(output_format=x), inputs=output_format)
+            
+            advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column,
+                                    queue=False, show_progress=False) \
+                .then(fn=lambda: None, _js='refresh_grid_delayed', queue=False, show_progress=False)
+
+            def inpaint_mode_change(mode):
+                assert mode in modules.flags.inpaint_options
+
+                # inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
+                # inpaint_disable_initial_latent, inpaint_engine,
+                # inpaint_strength, inpaint_respective_field
+
+                if mode == modules.flags.inpaint_option_detail:
+                    return [
+                        gr.update(visible=True), gr.update(visible=False, value=[]),
+                        gr.Dataset.update(visible=True, samples=modules.config.example_inpaint_prompts),
+                        False, 'None', 0.5, 0.0
+                    ]
+
+                if mode == modules.flags.inpaint_option_modify:
+                    return [
+                        gr.update(visible=True), gr.update(visible=False, value=[]),
+                        gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts),
+                        True, modules.config.default_inpaint_engine_version, 1.0, 0.0
+                    ]
 
-            if mode == modules.flags.inpaint_option_modify:
                 return [
-                    gr.update(visible=True), gr.update(visible=False, value=[]),
+                    gr.update(visible=False, value=''), gr.update(visible=True),
                     gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts),
-                    True, modules.config.default_inpaint_engine_version, 1.0, 0.0
+                    False, modules.config.default_inpaint_engine_version, 1.0, 0.618
                 ]
 
-            return [
-                gr.update(visible=False, value=''), gr.update(visible=True),
-                gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts),
-                False, modules.config.default_inpaint_engine_version, 1.0, 0.618
+            inpaint_mode.input(inpaint_mode_change, inputs=inpaint_mode, outputs=[
+                inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
+                inpaint_disable_initial_latent, inpaint_engine,
+                inpaint_strength, inpaint_respective_field
+            ], show_progress=False, queue=False)
+
+            ctrls = [currentTask, generate_image_grid]
+            ctrls += [
+                prompt, negative_prompt, style_selections,
+                performance_selection, aspect_ratios_selection, image_number, output_format, image_seed,
+                read_wildcards_in_order, sharpness, guidance_scale
             ]
 
-        inpaint_mode.input(inpaint_mode_change, inputs=inpaint_mode, outputs=[
-            inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
-            inpaint_disable_initial_latent, inpaint_engine,
-            inpaint_strength, inpaint_respective_field
-        ], show_progress=False, queue=False)
-
-        ctrls = [currentTask, generate_image_grid]
-        ctrls += [
-            prompt, negative_prompt, style_selections,
-            performance_selection, aspect_ratios_selection, image_number, output_format, image_seed,
-            read_wildcards_in_order, sharpness, guidance_scale
-        ]
-
-        ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
-        ctrls += [input_image_checkbox, current_tab]
-        ctrls += [uov_method, uov_input_image]
-        ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
-        ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
-        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
-        ctrls += [sampler_name, scheduler_name]
-        ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
-        ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
-        ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]
-        ctrls += [refiner_swap_method, controlnet_softness]
-        ctrls += freeu_ctrls
-        ctrls += inpaint_ctrls
-
-        if not args_manager.args.disable_metadata:
-            ctrls += [save_metadata_to_images, metadata_scheme]
-
-        ctrls += ip_ctrls
-
-        def parse_meta(raw_prompt_txt, is_generating):
-            loaded_json = None
-            if is_json(raw_prompt_txt):
-                loaded_json = json.loads(raw_prompt_txt)
-
-            if loaded_json is None:
-                if is_generating:
-                    return gr.update(), gr.update(), gr.update()
+            ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
+            ctrls += [input_image_checkbox, current_tab]
+            ctrls += [uov_method, uov_input_image]
+            ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
+            ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
+            ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
+            ctrls += [sampler_name, scheduler_name]
+            ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
+            ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
+            ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]
+            ctrls += [refiner_swap_method, controlnet_softness]
+            ctrls += freeu_ctrls
+            ctrls += inpaint_ctrls
+
+            if not args_manager.args.disable_metadata:
+                ctrls += [save_metadata_to_images, metadata_scheme]
+
+            ctrls += ip_ctrls
+
+            def parse_meta(raw_prompt_txt, is_generating):
+                loaded_json = None
+                if is_json(raw_prompt_txt):
+                    loaded_json = json.loads(raw_prompt_txt)
+
+                if loaded_json is None:
+                    if is_generating:
+                        return gr.update(), gr.update(), gr.update()
+                    else:
+                        return gr.update(), gr.update(visible=True), gr.update(visible=False)
+
+                return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True)
+
+            prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
+
+            load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
+
+            def trigger_metadata_import(filepath, state_is_generating):
+                parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
+                if parameters is None:
+                    print('Could not find metadata in the image!')
+                    parsed_parameters = {}
                 else:
-                    return gr.update(), gr.update(visible=True), gr.update(visible=False)
-
-            return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True)
-
-        prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
-
-        load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
-
-        def trigger_metadata_import(filepath, state_is_generating):
-            parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
-            if parameters is None:
-                print('Could not find metadata in the image!')
-                parsed_parameters = {}
-            else:
-                metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
-                parsed_parameters = metadata_parser.parse_json(parameters)
-
-            return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
-
-        metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
-            .then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
-
-        generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
-                              outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \
-            .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
-            .then(fn=get_task, inputs=ctrls, outputs=currentTask) \
-            .then(fn=generate_clicked, inputs=currentTask, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
-            .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
-                  outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
-            .then(fn=update_history_link, outputs=history_link) \
-            .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
-
-        for notification_file in ['notification.ogg', 'notification.mp3']:
-            if os.path.exists(notification_file):
-                gr.Audio(interactive=False, value=notification_file, elem_id='audio_notification', visible=False)
-                break
-
-        def trigger_describe(mode, img):
-            if mode == flags.desc_type_photo:
-                from extras.interrogate import default_interrogator as default_interrogator_photo
-                return default_interrogator_photo(img), ["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"]
-            if mode == flags.desc_type_anime:
-                from extras.wd14tagger import default_interrogator as default_interrogator_anime
-                return default_interrogator_anime(img), ["Fooocus V2", "Fooocus Masterpiece"]
-            return mode, ["Fooocus V2"]
-
-        desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image],
-                       outputs=[prompt, style_selections], show_progress=True, queue=True)
+                    metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
+                    parsed_parameters = metadata_parser.parse_json(parameters)
+
+                return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
+
+            metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
+                .then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
+
+            generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
+                                outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \
+                .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
+                .then(fn=get_task, inputs=ctrls, outputs=currentTask) \
+                .then(fn=generate_clicked, inputs=currentTask, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
+                .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
+                    outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
+                .then(fn=update_history_link, outputs=history_link) \
+                .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
+
+            for notification_file in ['notification.ogg', 'notification.mp3']:
+                if os.path.exists(notification_file):
+                    gr.Audio(interactive=False, value=notification_file, elem_id='audio_notification', visible=False)
+                    break
+
+            def trigger_describe(mode, img):
+                if mode == flags.desc_type_photo:
+                    from extras.interrogate import default_interrogator as default_interrogator_photo
+                    return default_interrogator_photo(img), ["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"]
+                if mode == flags.desc_type_anime:
+                    from extras.wd14tagger import default_interrogator as default_interrogator_anime
+                    return default_interrogator_anime(img), ["Fooocus V2", "Fooocus Masterpiece"]
+                return mode, ["Fooocus V2"]
+
+            desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image],
+                        outputs=[prompt, style_selections], show_progress=True, queue=True)
 
 
 def dump_default_english_config():