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Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -152,10 +152,25 @@ os.makedirs(directory_vaes, exist_ok=True)
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# - **Download SD 1.5 Models**
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download_model = "https://huggingface.co/frankjoshua/toonyou_beta6/resolve/main/toonyou_beta6.safetensors"
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# - **Download VAEs**
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download_vae = "https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/anything_fp16.safetensors"
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# - **Download LoRAs**
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download_lora = "https://civitai.com/api/download/models/97655, https://civitai.com/api/download/models/124358"
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load_diffusers_format_model = [
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CIVITAI_API_KEY = ""
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hf_token = ""
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@@ -550,6 +565,25 @@ CSS ="""
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#gallery { flex-grow: 1; }
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"""
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with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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gr.Markdown("# 🧩 DiffuseCraft")
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gr.Markdown(
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@@ -559,14 +593,21 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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)
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with gr.Tab("Generation"):
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with gr.Row():
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-
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with gr.Column(scale=2):
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-
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model_name_gui = gr.Dropdown(label="Model", choices=model_list, value=model_list[0], allow_custom_value=True)
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prompt_gui = gr.Textbox(lines=5, placeholder="Enter prompt", label="Prompt")
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neg_prompt_gui = gr.Textbox(lines=3, placeholder="Enter Neg prompt", label="Negative prompt")
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generate_button = gr.Button(value="GENERATE", variant="primary")
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result_images = gr.Gallery(
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label="Generated images",
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show_label=False,
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@@ -597,7 +638,10 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True):
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image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
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image_mask_gui = gr.Image(label="Image Mask", type="filepath")
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strength_gui = gr.Slider(
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image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
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preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"])
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@@ -670,11 +714,11 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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with gr.Accordion("Textual inversion", open=False, visible=False):
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active_textual_inversion_gui = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
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-
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with gr.Accordion("Hires fix", open=False, visible=True):
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upscaler_keys = list(upscaler_dict_gui.keys())
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upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=upscaler_keys, value=upscaler_keys[0])
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upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=6., step=0.1, value=1.5, label="Upscale by")
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esrgan_tile_gui = gr.Slider(minimum=0, value=100, maximum=500, step=1, label="ESRGAN Tile")
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@@ -1050,20 +1094,20 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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outputs=[result_images],
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cache_examples=False,
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)
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-
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with gr.Tab("Inpaint mask maker", render=True):
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-
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def create_mask_now(img, invert):
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import numpy as np
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import time
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-
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time.sleep(0.5)
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transparent_image = img["layers"][0]
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-
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# Extract the alpha channel
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alpha_channel = np.array(transparent_image)[:, :, 3]
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-
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# Create a binary mask by thresholding the alpha channel
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binary_mask = alpha_channel > 1
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@@ -1077,9 +1121,9 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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# Convert the mask to uint8
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rgb_mask = rgb_mask.astype(np.uint8) * 255
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return img["background"], rgb_mask
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-
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with gr.Row():
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with gr.Column(scale=2):
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# image_base = gr.ImageEditor(label="Base image", show_label=True, brush=gr.Brush(colors=["#000000"]))
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@@ -1212,15 +1256,9 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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queue=True,
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)
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-
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-
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app.queue() # default_concurrency_limit=40
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app.launch(
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# max_threads=40,
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# share=False,
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show_error=True,
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# quiet=False,
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debug=True,
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# allowed_paths=["./assets/"],
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)
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# - **Download SD 1.5 Models**
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download_model = "https://huggingface.co/frankjoshua/toonyou_beta6/resolve/main/toonyou_beta6.safetensors"
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# - **Download VAEs**
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download_vae = "https://huggingface.co/nubby/blessed-sdxl-vae-fp16-fix/resolve/main/sdxl_vae-fp16fix-c-1.1-b-0.5.safetensors?download=true, https://huggingface.co/nubby/blessed-sdxl-vae-fp16-fix/resolve/main/sdxl_vae-fp16fix-blessed.safetensors?download=true, https://huggingface.co/digiplay/VAE/resolve/main/vividReal_v20.safetensors?download=true, https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/kl-f8-anime2_fp16.safetensors?download=true, https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/ClearVAE_V2.3_fp16.safetensors?download=true, https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/vae-ft-mse-840000-ema-pruned_fp16.safetensors?download=true, https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/blessed2_fp16.safetensors?download=true, https://huggingface.co/NoCrypt/blessed_vae/resolve/main/blessed-fix.vae.pt?download=true, https://huggingface.co/fp16-guy/anything_kl-f8-anime2_vae-ft-mse-840000-ema-pruned_blessed_clearvae_fp16_cleaned/resolve/main/anything_fp16.safetensors"
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# - **Download LoRAs**
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download_lora = "https://civitai.com/api/download/models/97655, https://civitai.com/api/download/models/124358"
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load_diffusers_format_model = [
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'stabilityai/stable-diffusion-xl-base-1.0',
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'misri/epicrealismXL_v7FinalDestination',
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'misri/juggernautXL_juggernautX',
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'misri/anima_pencil-XL-v4.0.0',
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'cagliostrolab/animagine-xl-3.1',
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'misri/kohakuXLEpsilon_rev1',
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'kitty7779/ponyDiffusionV6XL',
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'runwayml/stable-diffusion-v1-5',
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'digiplay/majicMIX_realistic_v6',
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'digiplay/majicMIX_realistic_v7',
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'digiplay/DreamShaper_8',
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'digiplay/BeautifulArt_v1',
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'digiplay/DarkSushi2.5D_v1',
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]
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CIVITAI_API_KEY = ""
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hf_token = ""
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#gallery { flex-grow: 1; }
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"""
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sdxl_task = task_model_list[:3] + task_model_list[3:8]
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sd_task = task_model_list[:3] + task_model_list[8:]
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def update_task_options(model_name, task_name):
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if model_name in model_list:
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if "xl" in model_name.lower():
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new_choices = sdxl_task
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else:
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new_choices = sd_task
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if task_name not in new_choices:
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task_name = "txt2img"
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return gr.update(value=task_name, choices=new_choices)
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else:
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return gr.update(value=task_name, choices=task_model_list)
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with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
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gr.Markdown("# 🧩 DiffuseCraft")
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gr.Markdown(
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)
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with gr.Tab("Generation"):
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with gr.Row():
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with gr.Column(scale=2):
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task_gui = gr.Dropdown(label="Task", choices=sdxl_task, value=task_model_list[0])
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model_name_gui = gr.Dropdown(label="Model", choices=model_list, value=model_list[0], allow_custom_value=True)
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prompt_gui = gr.Textbox(lines=5, placeholder="Enter prompt", label="Prompt")
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neg_prompt_gui = gr.Textbox(lines=3, placeholder="Enter Neg prompt", label="Negative prompt")
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generate_button = gr.Button(value="GENERATE", variant="primary")
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model_name_gui.change(
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update_task_options,
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[model_name_gui, task_gui],
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[task_gui],
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)
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result_images = gr.Gallery(
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label="Generated images",
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show_label=False,
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with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True):
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image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
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image_mask_gui = gr.Image(label="Image Mask", type="filepath")
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strength_gui = gr.Slider(
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minimum=0.01, maximum=1.0, step=0.01, value=0.55, label="Strength",
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info="This option adjusts the level of changes for img2img and inpainting."
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)
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image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
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preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"])
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with gr.Accordion("Textual inversion", open=False, visible=False):
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active_textual_inversion_gui = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
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with gr.Accordion("Hires fix", open=False, visible=True):
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upscaler_keys = list(upscaler_dict_gui.keys())
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upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=upscaler_keys, value=upscaler_keys[0])
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upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=6., step=0.1, value=1.5, label="Upscale by")
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esrgan_tile_gui = gr.Slider(minimum=0, value=100, maximum=500, step=1, label="ESRGAN Tile")
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outputs=[result_images],
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cache_examples=False,
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)
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with gr.Tab("Inpaint mask maker", render=True):
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def create_mask_now(img, invert):
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import numpy as np
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import time
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time.sleep(0.5)
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transparent_image = img["layers"][0]
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# Extract the alpha channel
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alpha_channel = np.array(transparent_image)[:, :, 3]
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# Create a binary mask by thresholding the alpha channel
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binary_mask = alpha_channel > 1
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# Convert the mask to uint8
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rgb_mask = rgb_mask.astype(np.uint8) * 255
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return img["background"], rgb_mask
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with gr.Row():
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with gr.Column(scale=2):
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# image_base = gr.ImageEditor(label="Base image", show_label=True, brush=gr.Brush(colors=["#000000"]))
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queue=True,
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)
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app.queue()
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app.launch(
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show_error=True,
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debug=True,
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)
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