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from flask import Flask, request
from diffusers import StableDiffusionPipeline
import torch
app = Flask(__name__)
model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
def dummy(images, **kwargs):
return images, False
pipe.safety_checker = dummy
@app.route('/')
def generate_image():
prompt = request.args.get('prompt')
image = pipe(prompt).images[0]
# do something with the generated image
image_data = image.tobytes().hex()
return {'image_data': image_data}
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000) |