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import torch | |
import gradio as gr | |
from diffusers import StableDiffusionPipeline | |
model_id = "runwayml/stable-diffusion-v1-5" # You can change to your own model | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
pipe = pipe.to("cuda") | |
def generate(prompt): | |
image = pipe(prompt).images[0] | |
return image | |
gr.Interface( | |
fn=generate, | |
inputs=gr.Textbox(label="Enter your prompt"), | |
outputs=gr.Image(type="pil"), | |
title="🎨 AI Image Generator", | |
description="Enter a prompt to generate images using Stable Diffusion", | |
).launch() | |