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from flask import Flask, send_file, request
import torch
from torch import autocast
from diffusers import StableDiffusionPipeline
from io import BytesIO
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
model_id = "CompVis/stable-diffusion-v1-4"
device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
revision="fp16",
use_auth_token=True,
)
pipe = pipe.to(device)
def serve_pil_image(pil_img):
img_io = BytesIO()
pil_img.save(img_io, "JPEG", quality=70)
img_io.seek(0)
return send_file(img_io, mimetype="image/jpeg")
@app.route("/")
def hello_world():
return "<p>Hello, World!</p>"
@app.route("/generate-image")
def generate_image():
prompt = request.args.get(
"prompt",
default="a photo of an astronaut riding a horse on mars",
type=str,
)
steps = request.args.get("steps", default=15, type=int)
seed = request.args.get("seed", default=1024, type=int)
generator = torch.Generator("cuda").manual_seed(seed)
with autocast(device):
image = pipe(
prompt,
guidance_scale=7.5,
num_inference_steps=steps,
generator=generator,
).images[0]
return serve_pil_image(image)
if __name__ == "__main__":
app.run(
host="0.0.0.0",
port=5000,
debug=True,
)
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