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import gradio as gr
import torch
from diffusers import DiffusionPipeline
def generate_image(prompt):
model_id = "runwayml/stable-diffusion-v1-5"
pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipeline = pipeline.to("cuda")
num_inference_steps = 20
generator = torch.Generator("cuda").manual_seed(0)
image = pipeline(prompt, generator=generator, num_inference_steps=20).images[0]
return image
iface = gr.Interface(
fn=generate_image,
inputs="text",
outputs="image",
title="Diffusion d'images",
description="Générez des images à partir d'une description.",
)
iface.launch() |