Upload 3 files

app.py

@@ -5,9 +5,11 @@ import torch
 from PIL import Image
 import spaces
 from diffusers import DiffusionPipeline
+from huggingface_hub import hf_hub_download, HfFileSystem, ModelCard, snapshot_download
 import copy
 import random
 import time
+
 from mod import (models, clear_cache, get_repo_safetensors, change_base_model,
                  description_ui, num_loras, compose_lora_json, is_valid_lora, fuse_loras, get_trigger_word, pipe)
 from flux import (search_civitai_lora, select_civitai_lora, search_civitai_lora_json,
@@ -40,7 +42,6 @@ class calculateDuration:
         else:
             print(f"Elapsed time: {self.elapsed_time:.6f} seconds")
 
-
 def update_selection(evt: gr.SelectData, width, height):
     selected_lora = loras[evt.index]
     new_placeholder = f"Type a prompt for {selected_lora['title']}"
@@ -62,7 +63,7 @@ def update_selection(evt: gr.SelectData, width, height):
     )
 
 @spaces.GPU(duration=70)
-def generate_image(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, progress):
+def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress):
     pipe.to("cuda")
     generator = torch.Generator(device="cuda").manual_seed(seed)
     
@@ -70,7 +71,7 @@ def generate_image(prompt, trigger_word, steps, seed, cfg_scale, width, height,
     with calculateDuration("Generating image"):
         # Generate image
         image = pipe(
-            prompt=f"{prompt} {trigger_word}",
+            prompt=prompt_mash,
             num_inference_steps=steps,
             guidance_scale=cfg_scale,
             width=width,
@@ -87,15 +88,26 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
     #    raise gr.Error("You must select a LoRA before proceeding.")
     progress(0, desc="Preparing Inference.")
 
-    trigger_word = ""
+    prompt_mash = prompt
     if is_valid_lora(lora_json):
         with calculateDuration("Loading LoRA weights"):
             fuse_loras(pipe, lora_json)
             trigger_word = get_trigger_word(lora_json)
+            prompt_mash = f"{prompt} {trigger_word}"
     if selected_index is not None:
         selected_lora = loras[selected_index]
         lora_path = selected_lora["repo"]
         trigger_word = selected_lora["trigger_word"]
+        if(trigger_word):
+            if "trigger_position" in selected_lora:
+                if selected_lora["trigger_position"] == "prepend":
+                    prompt_mash = f"{trigger_word} {prompt}"
+                else:
+                    prompt_mash = f"{prompt} {trigger_word}"
+            else:
+                prompt_mash = f"{trigger_word} {prompt}"
+        else:
+            prompt_mash = prompt
         # Load LoRA weights
         with calculateDuration(f"Loading LoRA weights for {selected_lora['title']}"):
             if "weights" in selected_lora:
@@ -110,7 +122,7 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
     
     progress(1, desc="Preparing Inference.")
 
-    image = generate_image(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, progress)
+    image = generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress)
     if is_valid_lora(lora_json):
         pipe.unfuse_lora()
         pipe.unload_lora_weights()
@@ -119,6 +131,81 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
     clear_cache()
     return image, seed  
 
+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 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, ""
+
 run_lora.zerogpu = True
 
 css = '''
@@ -127,8 +214,12 @@ css = '''
 #title h1{font-size: 3em; display:inline-flex; align-items:center}
 #title img{width: 100px; margin-right: 0.5em}
 #gallery .grid-wrap{height: 10vh}
+#lora_list{background: var(--block-background-fill);padding: 0 1em .3em; font-size: 90%}
+.card_internal{display: flex;height: 100px;margin-top: .5em}
+.card_internal img{margin-right: 1em}
+.styler{--form-gap-width: 0px !important}
 '''
-with gr.Blocks(theme=gr.themes.Soft(), fill_width=True, css=css) as app:
+with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=css) as app:
     with gr.Tab("FLUX LoRA the Explorer"):
         title = gr.HTML(
             """<h1><img src="https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer/resolve/main/flux_lora.png" alt="LoRA">FLUX LoRA the Explorer Mod</h1>""",
@@ -162,7 +253,11 @@ with gr.Blocks(theme=gr.themes.Soft(), fill_width=True, css=css) as app:
                     columns=3,
                     elem_id="gallery"
                 )
-                
+                with gr.Group():
+                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", placeholder="multimodalart/vintage-ads-flux")
+                    gr.Markdown("[Check the list of FLUX LoRas](https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list")
+                custom_lora_info = gr.HTML(visible=False)
+                custom_lora_button = gr.Button("Remove custom LoRA", visible=False)
             with gr.Column(scale=4):
                 result = gr.Image(label="Generated Image")
 
@@ -185,48 +280,57 @@ with gr.Blocks(theme=gr.themes.Soft(), fill_width=True, css=css) as app:
                         seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
                         lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1, step=0.01, value=0.95)
 
-                    with gr.Column():
-                        lora_repo_json = gr.JSON(value=[{}] * num_loras, visible=False)
-                        lora_repo = [None] * num_loras
-                        lora_weights = [None] * num_loras
-                        lora_trigger = [None] * num_loras
-                        lora_wt = [None] * num_loras
-                        lora_info = [None] * num_loras
-                        lora_copy = [None] * num_loras
-                        lora_md = [None] * num_loras
-                        lora_num = [None] * num_loras
-                        for i in range(num_loras):
-                            with gr.Group():
+                    with gr.Accordion("External LoRA", open=True):
+                        with gr.Column():
+                            lora_repo_json = gr.JSON(value=[{}] * num_loras, visible=False)
+                            lora_repo = [None] * num_loras
+                            lora_weights = [None] * num_loras
+                            lora_trigger = [None] * num_loras
+                            lora_wt = [None] * num_loras
+                            lora_info = [None] * num_loras
+                            lora_copy = [None] * num_loras
+                            lora_md = [None] * num_loras
+                            lora_num = [None] * num_loras
+                            for i in range(num_loras):
+                                with gr.Group():
+                                    with gr.Row():
+                                        lora_repo[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Repo", choices=get_all_lora_tupled_list(), info="Input LoRA Repo ID", value="", allow_custom_value=True)
+                                        lora_weights[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Filename", choices=[], info="Optional", value="", allow_custom_value=True)
+                                        lora_trigger[i] = gr.Textbox(label=f"LoRA {int(i+1)} Trigger Prompt", lines=1, max_lines=4, value="")
+                                        lora_wt[i] = gr.Slider(label=f"LoRA {int(i+1)} Scale", minimum=-2, maximum=2, step=0.01, value=1.00)
+                                    with gr.Row():
+                                        lora_info[i] = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
+                                        lora_copy[i] = gr.Button(value="Copy example to prompt", visible=False)
+                                        lora_md[i] = gr.Markdown(value="", visible=False)
+                                        lora_num[i] = gr.Number(i, visible=False)
+                            with gr.Accordion("From URL", open=True, visible=True):
                                 with gr.Row():
-                                    lora_repo[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Repo", choices=get_all_lora_tupled_list(), info="Input LoRA Repo ID", value="", allow_custom_value=True)
-                                    lora_weights[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Filename", choices=[], info="Optional", value="", allow_custom_value=True)
-                                    lora_trigger[i] = gr.Textbox(label=f"LoRA {int(i+1)} Trigger Prompt", lines=1, max_lines=4, value="")
-                                    lora_wt[i] = gr.Slider(label=f"LoRA {int(i+1)} Scale", minimum=-2, maximum=2, step=0.01, value=1.00)
+                                    lora_search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
+                                    lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=["Flux.1 D", "Flux.1 S"], value=["Flux.1 D", "Flux.1 S"])
+                                    lora_search_civitai_submit = gr.Button("Search on Civitai")
+                                lora_search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
+                                lora_search_civitai_json = gr.JSON(value={}, visible=False)
+                                lora_search_civitai_desc = gr.Markdown(value="", visible=False)
+                                lora_download_url = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
                                 with gr.Row():
-                                    lora_info[i] = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
-                                    lora_copy[i] = gr.Button(value="Copy example to prompt", visible=False)
-                                    lora_md[i] = gr.Markdown(value="", visible=False)
-                                    lora_num[i] = gr.Number(i, visible=False)
-                        with gr.Accordion("From URL", open=True, visible=True):
-                            with gr.Row():
-                                lora_search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
-                                lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=["Flux.1 D", "Flux.1 S"], value=["Flux.1 D", "Flux.1 S"])
-                                lora_search_civitai_submit = gr.Button("Search on Civitai")
-                            lora_search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
-                            lora_search_civitai_json = gr.JSON(value={}, visible=False)
-                            lora_search_civitai_desc = gr.Markdown(value="", visible=False)
-                            lora_download_url = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
-                            with gr.Row():
-                                lora_download = [None] * num_loras
-                                for i in range(num_loras):
-                                    lora_download[i] = gr.Button(f"Get and set LoRA to {int(i+1)}")
+                                    lora_download = [None] * num_loras
+                                    for i in range(num_loras):
+                                        lora_download[i] = gr.Button(f"Get and set LoRA to {int(i+1)}")
      
     gallery.select(
         update_selection,
         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_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],
         fn=change_base_model,

loras.json

@@ -1,116 +1,122 @@
-[
-  {
-    "image": "https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/images/e5f2761e5d474e6ba492d20dca0fa26f_e78f1524074b42b6ac49643ffad50ac6.png",
-    "title": "Tarot v1",
-    "repo": "multimodalart/flux-tarot-v1",
-    "trigger_word": "in the style of TOK a trtcrd, tarot style",
-    "aspect": "portrait"
-  },
-  {
-    "image": "https://huggingface.co/alvdansen/frosting_lane_flux/resolve/main/images/content%20-%202024-08-11T005936.346.jpeg",
-    "title": "Frosting Lane Flux",
-    "repo": "alvdansen/frosting_lane_flux",
-    "trigger_word": ""
-  },
-  {
-    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/picture-6-rev1.png?raw=true",
-    "title": "flux-Realism",
-    "repo": "XLabs-AI/flux-RealismLora",
-    "trigger_word": ""
-  },
-  {
-    "image": "https://huggingface.co/nerijs/animation2k-flux/resolve/main/images/Q8-oVxNnXvZ9HNrgbNpGw_02762aaaba3b47859ee5fe9403a371e3.png",
-    "title": "animation2k",
-    "repo": "nerijs/animation2k-flux",
-    "trigger_word": ""
-  },
-  {
-    "image":"https://huggingface.co/alvdansen/softserve_anime/resolve/main/images/ComfyUI_00062_.png",
-    "title":"SoftServe Anime", 
-    "repo": "alvdansen/softserve_anime",
-    "trigger_word": ""
-  },
-  {
-    "image": "https://huggingface.co/veryVANYA/ps1-style-flux/resolve/main/24439220.jpeg",
-    "title": "PS1 style",
-    "repo": "veryVANYA/ps1-style-flux",
-    "trigger_word": "ps1 game screenshot"
-  },
-  {
-    "image": "https://huggingface.co/alvdansen/flux-koda/resolve/main/images/ComfyUI_00566_%20(2).png",
-    "title": "flux koda",
-    "repo": "alvdansen/flux-koda",
-    "trigger_word": "flmft style"
-  },
-  {
-    "image": "https://pbs.twimg.com/media/GU7NsZPa8AA4Ddl?format=jpg&name=4096x4096",
-    "title": "Half Illustration",
-    "repo": "davisbro/half_illustration",
-    "trigger_word": "in the style of TOK"
-  },
-  {
-    "image":"https://pbs.twimg.com/media/GVRiSH7WgAAnI4P?format=jpg&name=medium",
-    "title":"wrong", 
-    "repo": "fofr/flux-wrong",
-    "trigger_word": "WRNG"
-  },
-  {
-    "image":"https://huggingface.co/linoyts/yarn_art_Flux_LoRA/resolve/main/yarn_art_2.png",
-    "title":"Yarn Art", 
-    "repo": "linoyts/yarn_art_Flux_LoRA",
-    "trigger_word": ", yarn art style"
-  },
-  {
-    "image": "https://huggingface.co/SebastianBodza/flux_lora_aquarel_watercolor/resolve/main/images/ascend.webp",
-    "title": "Aquarell Watercolor",
-    "repo": "SebastianBodza/Flux_Aquarell_Watercolor_v2",
-    "trigger_word": "in a watercolor style, AQUACOLTOK. White background."
-  },
-  {
-    "image": "https://huggingface.co/dataautogpt3/FLUX-SyntheticAnime/resolve/main/assets/angel.png",
-    "title": "SyntheticAnime",
-    "repo": "dataautogpt3/FLUX-SyntheticAnime",
-    "trigger_word": "1980s anime screengrab, VHS quality"
-  },
-  {
-    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_14.png?raw=true",
-    "title": "flux-anime",
-    "repo": "XLabs-AI/flux-lora-collection",
-    "weights": "anime_lora.safetensors",
-    "trigger_word": ", anime"
-  },
-  {
-    "image": "https://huggingface.co/kudzueye/Boreal/resolve/main/images/ComfyUI_00845_.png",
-    "title": "Boreal",
-    "repo": "kudzueye/Boreal",
-    "weights": "boreal-flux-dev-lora-v04_1000_steps.safetensors",
-    "trigger_word": "phone photo"
-  },
-  {
-    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_18.png?raw=true",
-    "title": "flux-disney",
-    "repo": "XLabs-AI/flux-lora-collection",
-    "weights": "disney_lora.safetensors",
-    "trigger_word": ", disney style"
-  },
-  {
-    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_23.png?raw=true",
-    "title": "flux-art",
-    "repo": "XLabs-AI/flux-lora-collection",
-    "weights": "art_lora.safetensors",
-    "trigger_word": ", art"
-  },
-  {
-    "image": "https://huggingface.co/martintomov/retrofuturism-flux/resolve/main/images/2e40deba-858e-454f-ae1c-d1ba2adb6a65.jpeg",
-    "title": "Retrofuturism Flux",
-    "repo": "martintomov/retrofuturism-flux",
-    "trigger_word": ", retrofuturism"
-  },
-  {
-    "image": "https://huggingface.co/alfredplpl/flux.1-dev-modern-anime-lora/resolve/main/eyecatch2.jpg",
-    "title": "flux.1-dev-modern-anime-lora",
-    "repo": "alfredplpl/flux.1-dev-modern-anime-lora",
-    "weights": "modern-anime-lora_diffusers.safetensors",
-    "trigger_word": "modern anime"
-  }
+[
+  {
+    "image": "https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/images/e5f2761e5d474e6ba492d20dca0fa26f_e78f1524074b42b6ac49643ffad50ac6.png",
+    "title": "Tarot v1",
+    "repo": "multimodalart/flux-tarot-v1",
+    "trigger_word": "in the style of TOK a trtcrd, tarot style",
+    "aspect": "portrait"
+  },
+  {
+    "image": "https://huggingface.co/alvdansen/frosting_lane_flux/resolve/main/images/content%20-%202024-08-11T005936.346.jpeg",
+    "title": "Frosting Lane Flux",
+    "repo": "alvdansen/frosting_lane_flux",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/AIWarper/RubberCore1920sCartoonStyle/resolve/main/images/Rub_00006_.png",
+    "title": "1920s cartoon",
+    "repo": "AIWarper/RubberCore1920sCartoonStyle",
+    "trigger_word": "RU883R style",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/picture-6-rev1.png?raw=true",
+    "title": "flux-Realism",
+    "repo": "XLabs-AI/flux-RealismLora",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/nerijs/animation2k-flux/resolve/main/images/Q8-oVxNnXvZ9HNrgbNpGw_02762aaaba3b47859ee5fe9403a371e3.png",
+    "title": "animation2k",
+    "repo": "nerijs/animation2k-flux",
+    "trigger_word": ""
+  },
+  {
+    "image":"https://huggingface.co/alvdansen/softserve_anime/resolve/main/images/ComfyUI_00062_.png",
+    "title":"SoftServe Anime", 
+    "repo": "alvdansen/softserve_anime",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/veryVANYA/ps1-style-flux/resolve/main/24439220.jpeg",
+    "title": "PS1 style",
+    "repo": "veryVANYA/ps1-style-flux",
+    "trigger_word": "ps1 game screenshot"
+  },
+  {
+    "image": "https://huggingface.co/alvdansen/flux-koda/resolve/main/images/ComfyUI_00566_%20(2).png",
+    "title": "flux koda",
+    "repo": "alvdansen/flux-koda",
+    "trigger_word": "flmft style"
+  },
+  {
+    "image": "https://pbs.twimg.com/media/GU7NsZPa8AA4Ddl?format=jpg&name=4096x4096",
+    "title": "Half Illustration",
+    "repo": "davisbro/half_illustration",
+    "trigger_word": "in the style of TOK"
+  },
+  {
+    "image":"https://pbs.twimg.com/media/GVRiSH7WgAAnI4P?format=jpg&name=medium",
+    "title":"wrong", 
+    "repo": "fofr/flux-wrong",
+    "trigger_word": "WRNG"
+  },
+  {
+    "image":"https://huggingface.co/linoyts/yarn_art_Flux_LoRA/resolve/main/yarn_art_2.png",
+    "title":"Yarn Art", 
+    "repo": "linoyts/yarn_art_Flux_LoRA",
+    "trigger_word": ", yarn art style"
+  },
+  {
+    "image": "https://huggingface.co/Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style/resolve/main/08a19840b6214b76b0607b2f9d5a7e28_63159b9d98124c008efb1d36446a615c.png",
+    "title": "Paper Cutout",
+    "repo": "Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style",
+    "trigger_word": ", Paper Cutout Style"
+  },
+  {
+    "image": "https://huggingface.co/SebastianBodza/flux_lora_aquarel_watercolor/resolve/main/images/ascend.webp",
+    "title": "Aquarell Watercolor",
+    "repo": "SebastianBodza/Flux_Aquarell_Watercolor_v2",
+    "trigger_word": "in a watercolor style, AQUACOLTOK. White background."
+  },
+  {
+    "image": "https://huggingface.co/dataautogpt3/FLUX-SyntheticAnime/resolve/main/assets/angel.png",
+    "title": "SyntheticAnime",
+    "repo": "dataautogpt3/FLUX-SyntheticAnime",
+    "trigger_word": "1980s anime screengrab, VHS quality"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_14.png?raw=true",
+    "title": "flux-anime",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "anime_lora.safetensors",
+    "trigger_word": ", anime"
+  },
+  {
+    "image": "https://huggingface.co/kudzueye/Boreal/resolve/main/images/ComfyUI_00845_.png",
+    "title": "Boreal",
+    "repo": "kudzueye/Boreal",
+    "weights": "boreal-flux-dev-lora-v04_1000_steps.safetensors",
+    "trigger_word": "phone photo"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_18.png?raw=true",
+    "title": "flux-disney",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "disney_lora.safetensors",
+    "trigger_word": ", disney style"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_23.png?raw=true",
+    "title": "flux-art",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "art_lora.safetensors",
+    "trigger_word": ", art"
+  },
+  {
+    "image": "https://huggingface.co/martintomov/retrofuturism-flux/resolve/main/images/2e40deba-858e-454f-ae1c-d1ba2adb6a65.jpeg",
+    "title": "Retrofuturism Flux",
+    "repo": "martintomov/retrofuturism-flux",
+    "trigger_word": ", retrofuturism"
+  }
 ]

mod.py

@@ -18,7 +18,7 @@ models = [
     "sayakpaul/FLUX.1-merged",
     "John6666/blue-pencil-flux1-v001-fp8-flux",
     "John6666/copycat-flux-test-fp8-v11-fp8-flux",
-    "John6666/nepotism-fuxdevschnell-v3aio-flux",
+    "John6666/nepotism-fuxdevschnell-v3aio-fp8-flux",
     "John6666/niji-style-flux-devfp8-fp8-flux",
     "John6666/fluxunchained-artfulnsfw-fut516xfp8e4m3fnv11-fp8-flux",
     "John6666/fastflux-unchained-t5f16-fp8-flux",