Upload 3 files
Browse files- app.log +6 -0
- app.py +127 -0
- requirements.txt +11 -0
app.log
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Using device: cpu
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Gradio version: 5.14.0
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Python version: 3.12.8 | packaged by Anaconda, Inc. | (main, Dec 11 2024, 10:37:40) [Clang 14.0.6 ]
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HUGGINGFACE_TOKEN not found in environment variables
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Loading Stable Diffusion model for 3D-style rendering...
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app.py
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import gradio as gr
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import torch
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import os
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import sys
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from huggingface_hub import login
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from diffusers import StableDiffusionPipeline
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import io
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import base64
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from PIL import Image
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import numpy as np
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# Force CPU usage if needed
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print(f"Using device: {device}")
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# More details about the environment
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print(f"Gradio version: {gr.__version__}")
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print(f"Python version: {sys.version}")
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# Hugging Face API token'ı - önce environment variable olarak ara,
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# sonra Hugging Face Secrets sisteminde ara
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hf_token = os.environ.get("HUGGINGFACE_TOKEN")
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if hf_token:
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print("Found HUGGINGFACE_TOKEN in environment variables")
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# Token ile giriş yap
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login(token=hf_token)
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print("Logged in with Hugging Face token")
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else:
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print("HUGGINGFACE_TOKEN not found in environment variables")
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# Global model variable
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pipe = None
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def load_model():
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global pipe
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try:
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print("Loading Stable Diffusion model for 3D-style rendering...")
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# Use a lightweight model that can generate game icons
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pipe = StableDiffusionPipeline.from_pretrained(
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"runwayml/stable-diffusion-v1-5",
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torch_dtype=torch.float16 if device == "cuda" else torch.float32,
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safety_checker=None,
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requires_safety_checker=False
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).to(device)
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print("Model loaded successfully!")
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return True
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except Exception as e:
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print(f"Error loading model: {str(e)}")
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# Fallback to a simple image generation
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return False
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def generate_3d_icon(prompt, seed=0, guidance_scale=7.5, num_inference_steps=20):
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try:
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print(f"Generating 3D icon with prompt: {prompt}")
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if pipe is None:
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raise Exception("Model not loaded")
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# Enhance prompt for 3D game icon style
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enhanced_prompt = f"3D rendered game icon, {prompt}, clean background, vibrant colors, high quality, digital art, professional game asset"
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# Set seed for reproducibility
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if seed > 0:
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generator = torch.Generator(device=device).manual_seed(seed)
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else:
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generator = None
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# Generate image
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with torch.no_grad():
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image = pipe(
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enhanced_prompt,
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guidance_scale=guidance_scale,
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num_inference_steps=num_inference_steps,
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generator=generator,
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height=512,
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width=512
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).images[0]
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return image
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except Exception as e:
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print(f"Error generating icon: {str(e)}")
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# Return a simple placeholder image
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placeholder = Image.new('RGB', (512, 512), color='lightblue')
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return placeholder
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# Create Gradio interface
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def create_interface():
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# Load model first
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model_loaded = load_model()
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interface = gr.Interface(
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fn=generate_3d_icon,
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inputs=[
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gr.Textbox(label="Prompt", placeholder="Describe your game icon", value="galatasaray"),
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gr.Slider(minimum=0, maximum=1000, value=0, step=1, label="Seed"),
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gr.Slider(minimum=1.0, maximum=20.0, value=7.5, step=0.5, label="Guidance Scale"),
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gr.Slider(minimum=10, maximum=50, value=20, step=1, label="Inference Steps")
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],
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outputs=gr.Image(type="pil", label="Generated Game Icon"),
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title="3D Game Icon Generator",
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description="Generate 3D-style game icons using AI",
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examples=[
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["fantasy sword game icon", 42, 7.5, 20],
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["space shooter game icon", 123, 7.5, 20],
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["puzzle game icon with gems", 456, 7.5, 20]
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]
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)
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return interface
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# Launch the interface
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if __name__ == "__main__":
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try:
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interface = create_interface()
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print("Launching interface...")
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interface.launch(
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share=False,
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server_name="0.0.0.0",
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server_port=7860,
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show_error=True
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)
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except Exception as e:
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print(f"Error launching interface: {str(e)}")
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requirements.txt
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gradio==5.14.0
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huggingface-hub>=0.19.0
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torch>=2.0.0
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transformers>=4.30.0
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accelerate>=0.20.0
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diffusers>=0.24.0
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safetensors>=0.4.0
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numpy>=1.24.0
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Pillow>=10.0.0
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uvicorn>=0.14.0
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spaces
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