File size: 900 Bytes
0250d76 d798c5a 2eb1363 0250d76 2eb1363 0250d76 ee6e9e2 efbaaff 850331d 2eb1363 efbaaff 2eb1363 d798c5a efbaaff 14c2d1c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
from flask import request
from diffusers import StableDiffusionPipeline
import torch
from fastapi import FastAPI, Response
from fastapi.middleware.cors import CORSMiddleware
app.add_middleware( # add the middleware
CORSMiddleware,
allow_credentials=True, # allow credentials
allow_origins=["*"], # allow all origins
allow_methods=["*"], # allow all methods
allow_headers=["*"], # allow all headers
)
model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cpu")
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}
|