| from transformers import DiffusionPipeline # Example for diffusion models | |
| import gradio as gr | |
| model = DiffusionPipeline.from_pretrained("tejani/TileTexture") | |
| def generate_image(text): | |
| image = model(text).images[0] # Adjust based on output structure | |
| return image | |
| interface = gr.Interface(fn=generate_image, inputs="text", outputs="image") | |
| interface.launch() |