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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+flux_lora.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1 +1,380 @@
-yest
+import os
+import gradio as gr
+import json
+import logging
+from PIL import Image
+
+from huggingface_hub import ModelCard, HfFileSystem # Keep ModelCard, HfFileSystem for add_custom_lora
+from huggingface_hub import InferenceClient # Added for API inference
+import copy
+import random
+import time
+import re # Keep for add_custom_lora URL parsing and potentially trigger word finding
+
+# --- Inference Client Setup ---
+# It's recommended to load the API key from environment variables or Gradio secrets
+HF_API_KEY = os.getenv("HF_API_KEY")
+if not HF_API_KEY:
+    # Try to get from Gradio secrets if running in a Space
+    try:
+        HF_API_KEY = gr.secrets.get("HF_API_KEY")
+    except (AttributeError, KeyError):
+        HF_API_KEY = None # Set to None if not found
+
+if not HF_API_KEY:
+    logging.warning("HF_API_KEY not found in environment variables or Gradio secrets. Inference API calls will likely fail.")
+    # Optionally, raise an error or provide a default behavior
+    # raise ValueError("Missing Hugging Face API Key (HF_API_KEY) for InferenceClient")
+    client = None # Initialize client as None if no key
+else:
+    client = InferenceClient(provider="fal-ai", token=HF_API_KEY)
+    # Note: Provider choice depends on where the target models are hosted/supported for inference.
+
+# Load LoRAs from JSON file
+with open('loras.json', 'r') as f:
+    loras = json.load(f)
+
+# Removed diffusers model initialization block
+
+MAX_SEED = 2**32-1
+
+class calculateDuration:
+    def __init__(self, activity_name=""):
+        self.activity_name = activity_name
+
+    def __enter__(self):
+        self.start_time = time.time()
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.end_time = time.time()
+        self.elapsed_time = self.end_time - self.start_time
+        if self.activity_name:
+            print(f"Elapsed time for {self.activity_name}: {self.elapsed_time:.6f} seconds")
+        else:
+            print(f"Elapsed time: {self.elapsed_time:.6f} seconds")
+
+# Updated function signature: Removed width, height inputs
+def update_selection(evt: gr.SelectData):
+    selected_lora = loras[evt.index]
+    new_placeholder = f"Type a prompt for {selected_lora['title']}"
+    lora_repo = selected_lora["repo"]
+    # Use the repo ID directly as the model identifier for the API call
+    updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✨ (Model ID: `{lora_repo}`)"
+
+    # Default width/height
+    width = 1024
+    height = 1024
+    # Update width/height based on aspect ratio if defined
+    if "aspect" in selected_lora:
+        if selected_lora["aspect"] == "portrait":
+            width = 768
+            height = 1024
+        elif selected_lora["aspect"] == "landscape":
+            width = 1024
+            height = 768
+        # else keep 1024x1024
+
+    # Return updates for prompt, selection info, index, and width/height states
+    return (
+        gr.update(placeholder=new_placeholder),
+        updated_text,
+        evt.index,
+        gr.update(value=width),
+        gr.update(value=height),
+    )
+
+def run_lora(prompt, selected_index, current_seed, current_width, current_height):
+    global client # Access the global client
+
+    if client is None:
+        raise gr.Error("InferenceClient could not be initialized. Missing HF_API_KEY.")
+
+    if selected_index is None:
+        raise gr.Error("You must select a LoRA/Model before proceeding.")
+
+    # --- Hardcoded Defaults (Removed from UI) ---
+    cfg_scale = 7.0
+    steps = 30
+    # lora_scale = 0.95 # Might not be applicable/used by API
+    randomize_seed = True # Always randomize in this simplified version
+    # Removed image_input_path, image_strength - No img2img in this version
+
+    selected_lora = loras[selected_index]
+    # The 'repo' field now directly serves as the model identifier for the API
+    model_id = selected_lora["repo"]
+    trigger_word = selected_lora.get("trigger_word", "") # Use .get for safety
+
+    # --- Prompt Construction ---
+    if trigger_word:
+        trigger_position = selected_lora.get("trigger_position", "prepend") # Default prepend
+        if trigger_position == "prepend":
+            prompt_mash = f"{trigger_word} {prompt}"
+        else: # Append
+            prompt_mash = f"{prompt} {trigger_word}"
+    else:
+        prompt_mash = prompt
+
+    # --- Seed Handling ---
+    seed_to_use = current_seed # Use the state value by default
+    if randomize_seed:
+        seed_to_use = random.randint(0, MAX_SEED)
+        # Optional: Keep timer if desired
+        # with calculateDuration("Randomizing seed"):
+        #     pass
+
+    # --- API Call (Text-to-Image only) ---
+    final_image = None
+    try:
+        with calculateDuration(f"API Inference (txt2img) for {model_id}"):
+            print(f"Running Text-to-Image for Model: {model_id}")
+            final_image = client.text_to_image(
+                prompt=prompt_mash,
+                model=model_id,
+                guidance_scale=cfg_scale,
+                num_inference_steps=steps,
+                seed=seed_to_use,
+                width=current_width, # Use width from state
+                height=current_height, # Use height from state
+                # lora_scale might need to be passed via 'parameters' if supported
+                # parameters={"lora_scale": lora_scale}
+            )
+
+    except Exception as e:
+        print(f"Error during API call: {e}")
+        # Improved error message for common API key issues
+        if "authorization" in str(e).lower() or "401" in str(e):
+             raise gr.Error(f"Authorization error calling the Inference API. Please ensure your HF_API_KEY is valid and has the necessary permissions. Error: {e}")
+        elif "model is currently loading" in str(e).lower() or "503" in str(e):
+             raise gr.Error(f"Model '{model_id}' is currently loading or unavailable. Please try again in a few moments. Error: {e}")
+        else:
+            raise gr.Error(f"Failed to generate image using the API. Model: {model_id}. Error: {e}")
+
+    # Return final image, the seed used, and hide progress bar
+    return final_image, seed_to_use, gr.update(visible=False)
+
+
+# Removed get_huggingface_safetensors function as we don't download safetensors
+
+def parse_hf_link(link):
+    """Parses a Hugging Face link or repo ID string."""
+    if link.startswith("https://huggingface.co/"):
+        link = link.replace("https://huggingface.co/", "")
+    elif link.startswith("www.huggingface.co/"):
+         link = link.replace("www.huggingface.co/", "")
+    # Basic validation for "user/model" format
+    if "/" not in link or len(link.split("/")) != 2:
+        raise ValueError("Invalid Hugging Face repository ID format. Expected 'user/model'.")
+    return link.strip()
+
+def get_model_details(repo_id):
+    """Fetches model card details (image, trigger word) if possible."""
+    try:
+        model_card = ModelCard.load(repo_id)
+        image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)
+        trigger_word = model_card.data.get("instance_prompt", "") # Common key for trigger words
+        # Try another common key if the first fails
+        if not trigger_word:
+             trigger_word = model_card.data.get("trigger_words", [""])[0]
+
+        image_url = f"https://huggingface.co/{repo_id}/resolve/main/{image_path}" if image_path else None
+
+        # Fallback: Check repo files for an image if not in card widget data
+        if not image_url:
+            fs = HfFileSystem()
+            files = fs.ls(repo_id, detail=False)
+            image_extensions = (".jpg", ".jpeg", ".png", ".webp")
+            for file in files:
+                 filename = file.split("/")[-1]
+                 if filename.lower().endswith(image_extensions):
+                     image_url = f"https://huggingface.co/{repo_id}/resolve/main/{filename}"
+                     break # Take the first image found
+
+        # Use repo name as title if not specified elsewhere
+        title = model_card.data.get("model_display_name", repo_id.split('/')[-1]) # Example key, might vary
+
+        return title, trigger_word, image_url
+    except Exception as e:
+        print(f"Could not fetch model card details for {repo_id}: {e}")
+        # Fallback values
+        return repo_id.split('/')[-1], "", None # Use repo name part as title
+
+
+def add_custom_lora(custom_lora_input):
+    global loras
+    if not custom_lora_input:
+        # Clear the custom LoRA section if input is empty
+        return gr.update(visible=False, value=""), gr.update(visible=False), gr.update(), "", None, ""
+
+    try:
+        repo_id = parse_hf_link(custom_lora_input)
+        print(f"Attempting to add custom model: {repo_id}")
+
+        # Check if model already exists in the list
+        existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo_id), None)
+
+        if existing_item_index is not None:
+            print(f"Model {repo_id} already exists in the list.")
+            # Optionally re-select the existing one or just show info
+            selected_lora = loras[existing_item_index]
+            title = selected_lora.get('title', repo_id.split('/')[-1])
+            image = selected_lora.get('image', None) # Use existing image if available
+            trigger_word = selected_lora.get('trigger_word', '')
+        else:
+             # Fetch details for the new model
+             title, trigger_word, image = get_model_details(repo_id)
+             print(f"Adding new model: {repo_id}, Title: {title}, Trigger: '{trigger_word}', Image: {image}")
+             new_item = {
+                 "image": image, # Store image URL (can be None)
+                 "title": title,
+                 "repo": repo_id, # Store the repo ID used for API calls
+                 # "weights": path, # No longer needed
+                 "trigger_word": trigger_word # Store trigger word if found
+             }
+             loras.append(new_item)
+             existing_item_index = len(loras) - 1 # Index of the newly added item
+
+        # Generate HTML card for display
+        card = f'''
+        <div class="custom_lora_card">
+          <span>Loaded custom model:</span>
+          <div class="card_internal">
+            {f'<img src="{image}" alt="{title} preview"/>' if image else '<div class="no-image">No Image</div>'}
+            <div>
+                <h3>{title}</h3>
+                <small>Model ID: <code>{repo_id}</code><br></small>
+                <small>{"Using trigger word: <code><b>"+trigger_word+"</code></b>" if trigger_word else "No specific trigger word found in card. Include if needed."}<br></small>
+            </div>
+          </div>
+        </div>
+        '''
+
+        # Update the gallery to include the new item (or reflect potential changes if re-added)
+        updated_gallery_items = [(item.get("image"), item.get("title", item["repo"].split('/')[-1])) for item in loras]
+
+        # Update UI elements: show info card, show remove button, update gallery, clear selection info, set selected index, update prompt placeholder
+        return (
+            gr.update(visible=True, value=card),
+            gr.update(visible=True),
+            gr.Gallery(value=updated_gallery_items, selected_index=existing_item_index), # Select the added/found item
+            f"### Selected: [{repo_id}](https://huggingface.co/{repo_id}) ✨ (Model ID: `{repo_id}`)", # Update selection info
+            existing_item_index,
+            gr.update(placeholder=f"Type a prompt for {title}") # Update prompt placeholder
+        )
+
+    except ValueError as e: # Catch parsing errors
+        gr.Warning(f"Invalid Input: {e}")
+        return gr.update(visible=True, value=f"Invalid input: {e}"), gr.update(visible=False), gr.update(), "", None, ""
+    except Exception as e: # Catch other errors (e.g., network issues during card fetch)
+        gr.Warning(f"Error adding custom model: {e}")
+        # Show error in the info box, hide remove button, don't change gallery/selection
+        return gr.update(visible=True, value=f"Error adding custom model: {e}"), gr.update(visible=False), gr.update(), "", None, ""
+
+
+def remove_custom_lora():
+    # This function might need adjustment if we want to remove the *last added* custom lora
+    # For now, it just clears the display and selection related to custom loras.
+    # It doesn't remove the item from the global `loras` list.
+    return gr.update(visible=False, value=""), gr.update(visible=False), gr.update(selected_index=None), "", None, gr.update(value="") # Clear custom_lora textbox too
+
+# run_lora.zerogpu = True # Removed as inference is remote
+
+css = '''
+#gen_btn{height: 100%}
+#gen_column{align-self: stretch}
+#title{text-align: center}
+#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; align-items: center;}
+.card_internal img{margin-right: 1em; height: 100%; width: auto; object-fit: cover;}
+.card_internal .no-image { width: 100px; height: 100px; background-color: #eee; display: flex; align-items: center; justify-content: center; color: #aaa; margin-right: 1em; font-size: small;}
+.styler{--form-gap-width: 0px !important}
+#progress{height:30px}
+#progress .generating{display:none}
+/* Keep progress bar CSS for potential future use or remove if definitely not needed */
+.progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px}
+.progress-bar {height: 100%;background-color: #4f46e5;width: calc(var(--current) / var(--total) * 100%);transition: width 0.5s ease-in-out}
+'''
+font=[gr.themes.GoogleFont("Source Sans Pro"), "Arial", "sans-serif"]
+with gr.Blocks(theme=gr.themes.Soft(font=font), css=css, delete_cache=(60, 60)) as app:
+    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</h1>""",
+        elem_id="title",
+    )
+    # --- States for parameters previously in Advanced Settings ---
+    selected_index = gr.State(None)
+    width = gr.State(1024) # Default width
+    height = gr.State(1024) # Default height
+    seed = gr.State(0) # Default seed (will be randomized by run_lora)
+    # input_image = gr.State(None) # State for input image if img2img was kept
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            prompt = gr.Textbox(label="Prompt", lines=1, placeholder="Type a prompt after selecting a LoRA/Model")
+        with gr.Column(scale=1, elem_id="gen_column"):
+            generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
+    with gr.Row():
+        with gr.Column():
+            selected_info = gr.Markdown("Select a base model or add a custom one below.") # Updated initial text
+            gallery = gr.Gallery(
+                # Ensure items have 'image' and 'title' keys, provide fallbacks if needed
+                [(item.get("image"), item.get("title", item["repo"].split('/')[-1])) for item in loras],
+                label="Model Gallery", # Changed label
+                allow_preview=False,
+                columns=3,
+                elem_id="gallery",
+                show_share_button=False
+            )
+            with gr.Group():
+                custom_lora = gr.Textbox(label="Custom Model", info="Hugging Face model ID (e.g., user/model-name) or URL", placeholder="stabilityai/stable-diffusion-xl-base-1.0") # Updated label/placeholder
+                gr.Markdown("[Check Hugging Face Models](https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending)", elem_id="lora_list") # Updated link/text
+            custom_lora_info = gr.HTML(visible=False)
+            custom_lora_button = gr.Button("Clear custom model info", visible=False) # Changed button text
+        with gr.Column():
+            # Keep progress bar element, but it will only be shown briefly if API is slow, then hidden by run_lora return
+            progress_bar = gr.Markdown(elem_id="progress", visible=False, value="Generating...")
+            result = gr.Image(label="Generated Image")
+            # Display the seed used for the generation
+            used_seed_display = gr.Textbox(label="Seed Used", value=0, interactive=False) # Display seed used
+
+    # --- Removed Advanced Settings Accordion ---
+    # with gr.Row():
+    #     with gr.Accordion("Advanced Settings", open=False):
+    #         ... (Removed content) ...
+
+    gallery.select(
+        update_selection,
+        inputs=[], # No direct inputs needed, uses evt
+        # Update prompt placeholder, selection text, selected index state, and width/height states
+        outputs=[prompt, selected_info, selected_index, width, height]
+    )
+    # Use submit event for Textbox to trigger add_custom_lora
+    custom_lora.submit(
+        add_custom_lora,
+        inputs=[custom_lora],
+        # Outputs: info card, remove button, gallery, selection text, selected index state, prompt placeholder
+        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] # Clear textbox too
+    )
+    gr.on(
+        triggers=[generate_button.click, prompt.submit],
+        fn=run_lora,
+        # Inputs now use state variables for width, height, seed
+        inputs=[prompt, selected_index, seed, width, height],
+        # Outputs: result image, seed state (updated with used seed), progress bar update
+        outputs=[result, seed, progress_bar]
+    ).then(
+        # Update the displayed seed value after run_lora completes
+        lambda s: gr.update(value=s),
+        inputs=[seed],
+        outputs=[used_seed_display]
+    )
+
+
+app.queue()
+app.launch()

loras.json

@@ -0,0 +1,234 @@
+[
+  {
+    "repo": "Purz/choose-your-own-adventure",
+    "image": "https://huggingface.co/Purz/choose-your-own-adventure/resolve/main/34584570.jpeg",
+    "trigger_word": "cy04,",
+    "trigger_position": "prepend",
+    "title": "choose your own adventure",
+    "aspect": "portrait"
+  },
+  {
+    "image": "https://huggingface.co/renderartist/retrocomicflux/resolve/main/images/ComfyUI_temp_ipugi_00131_.png",
+    "repo": "renderartist/retrocomicflux",
+    "trigger_word": "c0m1c style vintage 1930s style comic strip panel of",
+    "title": "Retro Comic",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/glif/l0w-r3z/resolve/main/images/a19d658b-5d4c-45bc-9df6-f2bec54462a5.png",
+    "repo": "glif/l0w-r3z",
+    "trigger_word": ", l0w-r3z",
+    "title": "Low Res 3D"
+  },
+  {
+    "repo": "Purz/vhs-box",
+    "image": "https://huggingface.co/Purz/vhs-box/resolve/main/33726559.jpeg", 
+    "trigger_word": ", vhs_box",
+    "title": "VHS Box"
+  },
+  {
+    "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/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/Purz/face-projection/resolve/main/34031841.jpeg",
+    "repo": "Purz/face-projection",
+    "trigger_word": "f4c3_p40j3ct10n,",
+    "trigger_position": "prepend",
+    "title": "face projection"
+  },
+  {
+    "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"
+  },
+  {
+    "repo": "alvdansen/pola-photo-flux",
+    "image": "https://huggingface.co/alvdansen/pola-photo-flux/resolve/main/images/out-2%20(83).webp",
+    "trigger_word": ", polaroid style",
+    "title": "Polaroid Style"
+  },
+  {
+    "image": "https://huggingface.co/dvyio/flux-lora-the-sims/resolve/main/images/dunBAVBsALOepaE_dsWFI_6b0fef6b0fc4472aa07d00edea7c75b3.jpg",
+    "repo": "dvyio/flux-lora-the-sims",
+    "trigger_word": ", video game screenshot in the style of THSMS",
+    "title": "The Sims style" 
+  },
+  {
+    "image": "https://huggingface.co/alvdansen/softpasty-flux-dev/resolve/main/images/ComfyUI_00814_%20(2).png",
+    "title": "SoftPasty",
+    "repo": "alvdansen/softpasty-flux-dev",
+    "trigger_word": "araminta_illus illustration style"
+  },
+  {
+    "image": "https://huggingface.co/dvyio/flux-lora-film-noir/resolve/main/images/S8iWMa0GamEcFkanHHmI8_a232d8b83bb043808742d661dac257f7.jpg",
+    "title": "Film Noir",
+    "repo": "dvyio/flux-lora-film-noir",
+    "trigger_word": "in the style of FLMNR"
+  },
+  {
+    "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://huggingface.co/Norod78/JojosoStyle-flux-lora/resolve/main/samples/1725244218477__000004255_1.jpg",
+    "title": "JoJo Style",
+    "repo": "Norod78/JojosoStyle-flux-lora",
+    "trigger_word": "JojosoStyle",
+    "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/multimodalart/vintage-ads-flux/resolve/main/samples/j_XNU6Oe0mgttyvf9uPb3_dc244dd3d6c246b4aff8351444868d66.png",
+    "title": "Vintage Ads",
+    "repo":"multimodalart/vintage-ads-flux",
+    "trigger_word": "a vintage ad of",
+    "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/mgwr/Cine-Aesthetic/resolve/main/images/00030-1333633802.png",
+    "title": "Cine Aesthetic",
+    "repo": "mgwr/Cine-Aesthetic",
+    "trigger_word": "mgwr/cine",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/sWizad/pokemon-trainer-sprites-pixelart-flux/resolve/main/26578915.jpeg",
+    "repo": "sWizad/pokemon-trainer-sprites-pixelart-flux",
+    "title": "Pokemon Trainer Sprites",
+    "trigger_word": "white background, a pixel image of",
+    "trigger_position": "prepend" 
+  },
+  {
+    "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,",
+    "trigger_position": "prepend"
+  },
+  {
+    "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://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/davisbro/half_illustration/resolve/main/images/example3.webp",
+    "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://replicate.delivery/yhqm/QD8Ioy5NExqSCtBS8hG04XIRQZFaC9pxJemINT1bibyjZfSTA/out-0.webp",
+    "title": "80s Cyberpunk",
+    "repo": "fofr/flux-80s-cyberpunk",
+    "trigger_word": "style of 80s cyberpunk",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/kudzueye/Boreal/resolve/main/images/ComfyUI_00845_.png",
+    "title": "Boreal",
+    "repo": "kudzueye/boreal-flux-dev-v2",
+    "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"
+  }
+]

requirements.txt

@@ -0,0 +1,3 @@
+git+https://github.com/huggingface/huggingface_hub.git
+pillow
+gradio