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| import gradio as gr | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| # Load model (for CPU) | |
| pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5") | |
| pipe = pipe.to("cpu") | |
| def generate_image(prompt): | |
| image = pipe(prompt).images[0] | |
| return image | |
| gr.Interface( | |
| fn=generate_image, | |
| inputs=gr.Textbox(label="Enter your prompt"), | |
| outputs=gr.Image(type="pil", label="Generated Image"), | |
| title="SnapTrend AI Image Generator" | |
| ).launch() | |