| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| import gradio as gr | |
| # Load a CPU-friendly model (works without GPU) | |
| pipe = AutoPipelineForText2Image.from_pretrained( | |
| "stabilityai/sd-turbo", | |
| torch_dtype=torch.float32 | |
| ).to("cpu") | |
| # Image generation function | |
| def generate_image(prompt): | |
| image = pipe(prompt, num_inference_steps=6).images[0] | |
| return image | |
| # Gradio UI | |
| gr.Interface( | |
| fn=generate_image, | |
| inputs=gr.Textbox(label="Enter a prompt"), | |
| outputs=gr.Image(label="Generated Image"), | |
| title="CPU Image Generator (SD-Turbo)" | |
| ).launch() |