Update app.py

app.py

@@ -171,77 +171,77 @@ def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_ind
             
         yield final_image, seed, gr.update(value=progress_bar, visible=False)
         
-def get_huggingface_safetensors(link):
-  split_link = link.split("/")
-  if(len(split_link) == 2):
-            model_card = ModelCard.load(link)
-            base_model = model_card.data.get("base_model")
-            print(base_model)
-            if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")):
-                raise Exception("Not a FLUX LoRA!")
-            image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)
-            trigger_word = model_card.data.get("instance_prompt", "")
-            image_url = f"https://huggingface.co/{link}/resolve/main/{image_path}" if image_path else None
-            fs = HfFileSystem()
-            try:
-                list_of_files = fs.ls(link, detail=False)
-                for file in list_of_files:
-                    if(file.endswith(".safetensors")):
-                        safetensors_name = file.split("/")[-1]
-                    if (not image_url and file.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))):
-                      image_elements = file.split("/")
-                      image_url = f"https://huggingface.co/{link}/resolve/main/{image_elements[-1]}"
-            except Exception as e:
-              print(e)
-              gr.Warning(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
-              raise Exception(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
-            return split_link[1], link, safetensors_name, trigger_word, image_url
+#def get_huggingface_safetensors(link):
+#  split_link = link.split("/")
+#  if(len(split_link) == 2):
+#            model_card = ModelCard.load(link)
+#            base_model = model_card.data.get("base_model")
+#            print(base_model)
+#            if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")):
+#                raise Exception("Not a FLUX LoRA!")
+#            image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)
+#            trigger_word = model_card.data.get("instance_prompt", "")
+#            image_url = f"https://huggingface.co/{link}/resolve/main/{image_path}" if image_path else None
+#            fs = HfFileSystem()
+#            try:
+#                list_of_files = fs.ls(link, detail=False)
+#                for file in list_of_files:
+#                    if(file.endswith(".safetensors")):
+#                        safetensors_name = file.split("/")[-1]
+#                    if (not image_url and file.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))):
+#                      image_elements = file.split("/")
+#                      image_url = f"https://huggingface.co/{link}/resolve/main/{image_elements[-1]}"
+#            except Exception as e:
+#              print(e)
+#              gr.Warning(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
+#              raise Exception(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
+#            return split_link[1], link, safetensors_name, trigger_word, image_url
 
-def check_custom_model(link):
-    if(link.startswith("https://")):
-        if(link.startswith("https://huggingface.co") or link.startswith("https://www.huggingface.co")):
-            link_split = link.split("huggingface.co/")
-            return get_huggingface_safetensors(link_split[1])
-    else: 
-        return get_huggingface_safetensors(link)
+#def check_custom_model(link):
+#    if(link.startswith("https://")):
+#        if(link.startswith("https://huggingface.co") or link.startswith("https://www.huggingface.co")):
+#            link_split = link.split("huggingface.co/")
+#            return get_huggingface_safetensors(link_split[1])
+#    else: 
+#        return get_huggingface_safetensors(link)
 
-def add_custom_lora(custom_lora):
-    global loras
-    if(custom_lora):
-        try:
-            title, repo, path, trigger_word, image = check_custom_model(custom_lora)
-            print(f"Loaded custom LoRA: {repo}")
-            card = f'''
-            <div class="custom_lora_card">
-              <span>Loaded custom LoRA:</span>
-              <div class="card_internal">
-                <img src="{image}" />
-                <div>
-                    <h3>{title}</h3>
-                    <small>{"Using: <code><b>"+trigger_word+"</code></b> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}<br></small>
-                </div>
-              </div>
-            </div>
-            '''
-            existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None)
-            if(not existing_item_index):
-                new_item = {
-                    "image": image,
-                    "title": title,
-                    "repo": repo,
-                    "weights": path,
-                    "trigger_word": trigger_word
-                }
-                print(new_item)
-                existing_item_index = len(loras)
-                loras.append(new_item)
-        
-            return gr.update(visible=True, value=card), gr.update(visible=True), gr.Gallery(selected_index=None), f"Custom: {path}", existing_item_index, trigger_word
-        except Exception as e:
-            gr.Warning(f"Invalid LoRA: either you entered an invalid link, or a non-FLUX LoRA")
-            return gr.update(visible=True, value=f"Invalid LoRA: either you entered an invalid link, a non-FLUX LoRA"), gr.update(visible=True), gr.update(), "", None, ""
-    else:
-        return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
+#def add_custom_lora(custom_lora):
+#    global loras
+#    if(custom_lora):
+#        try:
+#            title, repo, path, trigger_word, image = check_custom_model(custom_lora)
+#            print(f"Loaded custom LoRA: {repo}")
+#            card = f'''
+#            <div class="custom_lora_card">
+#              <span>Loaded custom LoRA:</span>
+#              <div class="card_internal">
+#                <img src="{image}" />
+#                <div>
+#                    <h3>{title}</h3>
+#                    <small>{"Using: <code><b>"+trigger_word+"</code></b> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}<br></small>
+#                </div>
+#              </div>
+#            </div>
+#            '''
+#            existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None)
+#            if(not existing_item_index):
+#                new_item = {
+#                    "image": image,
+#                    "title": title,
+#                    "repo": repo,
+#                    "weights": path,
+#                    "trigger_word": trigger_word
+#                }
+#                print(new_item)
+#                existing_item_index = len(loras)
+#                loras.append(new_item)
+#        
+#            return gr.update(visible=True, value=card), gr.update(visible=True), gr.Gallery(selected_index=None), f"Custom: {path}", existing_item_index, trigger_word
+#        except Exception as e:
+#            gr.Warning(f"Invalid LoRA: either you entered an invalid link, or a non-FLUX LoRA")
+#            return gr.update(visible=True, value=f"Invalid LoRA: either you entered an invalid link, a non-FLUX LoRA"), gr.update(visible=True), gr.update(), "", None, ""
+#    else:
+#        return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
 
 def remove_custom_lora():
     return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
@@ -287,11 +287,11 @@ with gr.Blocks(theme=gr.themes.Soft(font=font), css=css, delete_cache=(60, 60))
                 elem_id="gallery",
                 show_share_button=False
             )
-            with gr.Group():
-                custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", placeholder="nftnik/NFTNIK-FLUX.1-dev-LoRA")
-                gr.Markdown("", elem_id="lora_list")
-            custom_lora_info = gr.HTML(visible=False)
-            custom_lora_button = gr.Button("Remove custom LoRA", visible=False)
+#            with gr.Group():
+#                custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", placeholder="nftnik/NFTNIK-FLUX.1-dev-LoRA")
+#                gr.Markdown("", elem_id="lora_list")
+#            custom_lora_info = gr.HTML(visible=False)
+#            custom_lora_button = gr.Button("Remove custom LoRA", visible=False)
         with gr.Column():
             progress_bar = gr.Markdown(elem_id="progress",visible=False)
             result = gr.Image(label="Generated Image")
@@ -320,14 +320,14 @@ with gr.Blocks(theme=gr.themes.Soft(font=font), css=css, delete_cache=(60, 60))
         inputs=[width, height],
         outputs=[prompt, selected_info, selected_index, width, height]
     )
-    custom_lora.input(
-        add_custom_lora,
-        inputs=[custom_lora],
-        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, prompt]
+#    custom_lora.input(
+#        add_custom_lora,
+#        inputs=[custom_lora],
+#        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, prompt]
     )
-    custom_lora_button.click(
-        remove_custom_lora,
-        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, custom_lora]
+#    custom_lora_button.click(
+#        remove_custom_lora,
+#        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, custom_lora]
     )
     gr.on(
         triggers=[generate_button.click, prompt.submit],