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README.md

@@ -1,12 +1,15 @@
----
-title: Image Generator
-emoji: ⚡
-colorFrom: gray
-colorTo: red
-sdk: gradio
-sdk_version: 5.49.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+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

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,
+    )

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",
+)

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)}")

requirements.txt

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