wehub-resource-sync
89 lines
2.3 KiB
Python
89 lines
2.3 KiB
Python
# __example_code_start__
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from io import BytesIO
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from fastapi import FastAPI
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from fastapi.responses import Response
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import torch
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from ray import serve
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from ray.serve.handle import DeploymentHandle
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app = FastAPI()
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@serve.deployment(num_replicas=1)
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@serve.ingress(app)
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class APIIngress:
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def __init__(self, diffusion_model_handle: DeploymentHandle) -> None:
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self.handle = diffusion_model_handle
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@app.get(
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"/imagine",
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responses={200: {"content": {"image/png": {}}}},
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response_class=Response,
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)
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async def generate(self, prompt: str, img_size: int = 512):
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assert len(prompt), "prompt parameter cannot be empty"
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image = await self.handle.generate.remote(prompt, img_size=img_size)
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file_stream = BytesIO()
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image.save(file_stream, "PNG")
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return Response(content=file_stream.getvalue(), media_type="image/png")
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@serve.deployment(
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ray_actor_options={"num_gpus": 1},
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autoscaling_config={"min_replicas": 0, "max_replicas": 2},
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)
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class StableDiffusionXL:
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def __init__(self):
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from diffusers import DiffusionPipeline
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model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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self.pipe = DiffusionPipeline.from_pretrained(
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model_id, torch_dtype=torch.float16, variant="fp16", use_safetensors=True
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)
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self.pipe = self.pipe.to("cuda")
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def generate(self, prompt: str, img_size: int = 512):
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assert len(prompt), "prompt parameter cannot be empty"
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with torch.autocast("cuda"):
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image = self.pipe(prompt, height=img_size, width=img_size).images[0]
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return image
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entrypoint = APIIngress.bind(StableDiffusionXL.bind())
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# __example_code_end__
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if __name__ == "__main__":
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import ray
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import os
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import requests
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ray.init(
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runtime_env={
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"pip": [
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"diffusers==0.33.1",
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"transformers==4.51.3",
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]
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}
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)
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handle = serve.run(entrypoint)
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handle.generate.remote("hi").result()
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prompt = "a cute cat is dancing on the grass."
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prompt_query = "%20".join(prompt.split(" "))
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resp = requests.get(f"http://127.0.0.1:8000/imagine?prompt={prompt_query}")
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with open("output.png", "wb") as f:
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f.write(resp.content)
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assert os.path.exists("output.png")
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os.remove("output.png")
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