Upload 2 files

app.py

@@ -43,6 +43,7 @@ last_model = models[0]
 last_cn_on = False
 #controlnet_union = FluxControlNetModel.from_pretrained(controlnet_model_union_repo, torch_dtype=dtype)
 #controlnet = FluxMultiControlNetModel([controlnet_union])
+#controlnet.config = controlnet_union.config
 
 MAX_SEED = 2**32-1
 
@@ -66,6 +67,7 @@ def change_base_model(repo_id: str, cn_on: bool, disable_model_cache: bool, prog
             print(f"Loading model: {repo_id} / Loading ControlNet: {controlnet_model_union_repo}")
             controlnet_union = FluxControlNetModel.from_pretrained(controlnet_model_union_repo, torch_dtype=dtype)
             controlnet = FluxMultiControlNetModel([controlnet_union])
+            controlnet.config = controlnet_union.config
             pipe = FluxControlNetPipeline.from_pretrained(repo_id, controlnet=controlnet, torch_dtype=dtype)
             pipe_i2i = FluxControlNetImg2ImgPipeline.from_pretrained(repo_id, controlnet=controlnet, vae=None, transformer=pipe.transformer, text_encoder=pipe.text_encoder,
              tokenizer=pipe.tokenizer, text_encoder_2=pipe.text_encoder_2, tokenizer_2=pipe.tokenizer_2, torch_dtype=dtype)
@@ -194,7 +196,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
         with calculateDuration("Generating image"):
             # Generate image
             modes, images, scales = get_control_params()
-            if True or not cn_on or len(modes) == 0:
+            if not cn_on or len(modes) == 0:
                 pipe_i2i.to("cuda")
                 pipe_i2i.vae = good_vae
                 image_input = load_image(image_input_path)
@@ -212,7 +214,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
                     output_type="pil",
                 ).images[0]
                 return final_image 
-            else: # omitted
+            else:
                 pipe_i2i.to("cuda")
                 pipe_i2i.vae = good_vae
                 image_input = load_image(image_input_path)

loras.json

@@ -20,13 +20,6 @@
     "weights": "lora_pastel_anime_flux.safetensors",
     "trigger_word": ""
   },
-  {
-    "image": "https://huggingface.co/Norod78/JojosoStyle-flux-lora/resolve/main/samples/1725244218477__000004255_1.jpg",
-    "title": "JoJo's Bizarre Adventure: Stone Ocean ",
-    "repo": "Norod78/JojosoStyle-flux-lora",
-    "weights": "JojosoStyle_flux_lora.safetensors",
-    "trigger_word": ", JojosoStyle"
-  },
   {
     "image": "https://huggingface.co/prithivMLmods/Canopus-Anime-Art-Flux-LoRA/resolve/main/images/BBBB.png",
     "title": "Canopus-Anime-Art-FluxDev-LoRA ",
@@ -41,6 +34,25 @@
     "weights": "ovld_style_overlord_wavymulder.safetensors",
     "trigger_word": ", ovld style anime"
   },
+  {
+    "image": "https://huggingface.co/renderartist/simplevectorflux/resolve/main/images/ComfyUI_09477_.jpeg",
+    "title": "Simple Vector",
+    "repo": "renderartist/simplevectorflux",
+    "trigger_word": "v3ct0r style, simple flat vector art, isolated on white bg,",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/glif/how2draw/resolve/main/images/glif-how2draw-araminta-k-vbnvy94npt8m338r2vm02m50.jpg",
+    "repo": "glif/how2draw",
+    "trigger_word": ", How2Draw",
+    "title": "How2Draw"
+  },
+  {
+    "image": "https://huggingface.co/glif/anime-blockprint-style/resolve/main/images/glif-block-print-anime-flux-dev-araminta-k-lora-araminta-k-kbde06qyovrmvsv65ubfyhn1.jpg",
+    "repo": "glif/anime-blockprint-style",
+    "trigger_word": ", blockprint style",
+    "title": "Blockprint Style"
+  },
   {
     "image": "https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/images/e5f2761e5d474e6ba492d20dca0fa26f_e78f1524074b42b6ac49643ffad50ac6.png",
     "title": "Tarot v1",