Delete HunyuanImage-3.0

HunyuanImage-3.0/.gitattributes

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HunyuanImage-3.0/README.md

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----
-title: HunyuanImage-3.0
-emoji: 📊
-colorFrom: purple
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.47.2
-app_file: app.py
-pinned: false
-tags:
-- anycoder
-hf_oauth: true
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

HunyuanImage-3.0/app.py

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-import gradio as gr
-from models import generate_image, MODEL_ID
-from config import APPLE_TENCENT_THEME
-
-def generate_image_with_auth(prompt: str, profile: gr.OAuthProfile | None):
-    """
-    Wrapper function that checks if user is logged in before generating image.
-    """
-    if profile is None:
-        raise gr.Error("Click Sign in with Hugging Face button to use this app for free")
-    
-    # User is logged in, proceed with image generation
-    return generate_image(prompt)
-
-def create_ui():
-    with gr.Blocks(title=f"Tencent HunyuanImage-3.0 Demo", theme=APPLE_TENCENT_THEME) as demo:
-        gr.HTML(
-            f"<div style='text-align: center; max-width: 700px; margin: 0 auto;'>"
-            f"<h1>Tencent {MODEL_ID.split('/')[-1]}</h1>"
-            f"<p>Generate images using Tencent's state-of-the-art model hosted by FAL AI.</p>"
-            f"<p style='color: orange;'>⚠️ You must Sign in with Hugging Face using the button to use this app.</p>"
-            f"Built with <a href='https://huggingface.co/spaces/akhaliq/anycoder' target='_blank'>anycoder</a>"
-            f"</div>"
-        )
-        
-        # Add login button - required for OAuth
-        gr.LoginButton()
-
-        with gr.Row():
-            with gr.Column(scale=1):
-                prompt_input = gr.Textbox(
-                    label="Prompt",
-                    placeholder="e.g., A detailed watercolor painting of a small red fox sleeping on a pile of autumn leaves.",
-                    lines=4
-                )
-                generate_btn = gr.Button("🎨 Generate Image", variant="primary")
-                
-            with gr.Column(scale=1):
-                output_image = gr.Image(
-                    label="Generated Image",
-                    height=512,
-                    width=512,
-                    interactive=False,
-                    show_download_button=True
-                )
-
-        # Set up the event listener - note the function now takes OAuthProfile
-        generate_btn.click(
-            fn=generate_image_with_auth,
-            inputs=[prompt_input],
-            outputs=[output_image],
-            queue=False,
-            api_name=False,
-            show_api=False,
-        )
-        
-        # Example usage guidance with queue features disabled
-        gr.Examples(
-            examples=[
-                "A detailed watercolor painting of a small red fox sleeping on a pile of autumn leaves."
-            ],
-            inputs=prompt_input,
-            outputs=output_image,
-            fn=generate_image,  # Examples use the original function
-            cache_examples=False,
-            api_name=False,
-            show_api=False,
-        )
-
-    return demo
-
-if __name__ == "__main__":
-    app = create_ui()
-    # Launch without special auth parameters
-    # OAuth is enabled via Space metadata (hf_oauth: true in README.md)
-    app.launch(
-        show_api=False,
-        enable_monitoring=False,
-        quiet=True,
-    )

HunyuanImage-3.0/config.py

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-import gradio as gr
-
-# Define a custom theme based on Soft theme for a modern/Apple aesthetic
-# Using indigo for a deep tech blue (Tencent blue approximation)
-APPLE_TENCENT_THEME = gr.themes.Soft(
-    primary_hue=gr.themes.colors.indigo, # FIX: Corrected capitalization to lowercase 'indigo'
-    secondary_hue=gr.themes.colors.gray,
-    neutral_hue=gr.themes.colors.neutral,
-    spacing_size=gr.themes.sizes.spacing_lg,
-    radius_size=gr.themes.sizes.radius_lg,
-    text_size=gr.themes.sizes.text_md,
-).set(
-    # Custom tweaks for a cleaner, high-contrast look (Apple/Modern aesthetic)
-    body_background_fill="#F9F9F9",
-    background_fill_primary="#FFFFFF",
-    background_fill_secondary="#F0F0F0",
-    shadow_drop="0 1px 3px 0 rgba(0, 0, 0, 0.05), 0 1px 2px 0 rgba(0, 0, 0, 0.02)",
-    shadow_drop_lg="0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05)",
-    button_primary_background_fill="*primary_500",
-    button_primary_background_fill_hover="*primary_600",
-)

HunyuanImage-3.0/models.py

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-import os
-from huggingface_hub import InferenceClient
-from PIL import Image
-import gradio as gr
-from typing import Union
-
-# Load environment variables (useful for local testing)
-from dotenv import load_dotenv
-load_dotenv()
-
-# --- Model Configuration ---
-MODEL_ID = "tencent/HunyuanImage-3.0"
-PROVIDER = "fal-ai"
-BILL_TO = "huggingface"
-
-# Initialize client
-HF_TOKEN = os.environ.get("HF_TOKEN")
-CLIENT: Union[InferenceClient, None] = None
-
-if HF_TOKEN:
-    try:
-        # Note: FAL AI provider uses HF_TOKEN as its api_key
-        CLIENT = InferenceClient(
-            provider=PROVIDER,
-            api_key=HF_TOKEN,
-            bill_to=BILL_TO,
-        )
-        print(f"✅ InferenceClient initialized for {MODEL_ID} via {PROVIDER}")
-    except Exception as e:
-        print(f"❌ Error initializing InferenceClient: {e}")
-        CLIENT = None
-else:
-    print("⚠️ HF_TOKEN environment variable not set. Client will be unavailable.")
-
-def generate_image(prompt: str) -> Image.Image:
-    """
-    Generates an image from a text prompt using the Hugging Face Inference Client.
-    """
-    if not CLIENT:
-        raise gr.Error("API client not available. Please ensure HF_TOKEN is set correctly.")
-    
-    if not prompt:
-        raise gr.Error("Please provide a prompt.")
-
-    print(f"Generating image for prompt: '{prompt[:50]}...'")
-
-    try:
-        # The output is a PIL.Image object directly
-        image = CLIENT.text_to_image(
-            prompt,
-            model=MODEL_ID,
-        )
-        return image
-    except Exception as e:
-        print(f"Error during image generation: {e}")
-        if "Authentication failed" in str(e):
-             raise gr.Error("Authentication failed. Check your HF_TOKEN.")
-        if "limit reached" in str(e) or "quota" in str(e):
-             raise gr.Error("Rate limit or quota reached for this API endpoint.")
-        raise gr.Error(f"Generation failed: {str(e)}")

HunyuanImage-3.0/requirements.txt

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-gradio
-huggingface-hub
-Pillow
-python-dotenv