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from typing import Optional |
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import numpy as np |
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from fastapi import FastAPI |
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from fastapi.responses import StreamingResponse |
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from pydantic import BaseModel, Field |
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app = FastAPI() |
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class GenerateArgs(BaseModel): |
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prompt: str |
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width: Optional[int] = Field(default=720) |
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height: Optional[int] = Field(default=1024) |
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num_steps: Optional[int] = Field(default=24) |
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guidance: Optional[float] = Field(default=3.5) |
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seed: Optional[int] = Field( |
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default_factory=lambda: np.random.randint(0, 2**32 - 1), gt=0, lt=2**32 - 1 |
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) |
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@app.post("/generate") |
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def generate(args: GenerateArgs): |
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result = app.state.model.generate(**args.model_dump()) |
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return StreamingResponse(result, media_type="image/jpeg") |
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