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Add docs for image generation
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@ -40,6 +40,8 @@ from .typing import (
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DecodeResponse,
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TranscriptionsRequest,
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TranscriptionsResponse,
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ImageGenerationRequest,
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ImageGenerationResponse,
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EmbeddingsRequest,
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EmbeddingsResponse,
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EncodeRequest,
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@ -215,17 +217,16 @@ async def handle_audio_transcription(request: Request, request_data: Transcripti
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return JSONResponse(content=transcription)
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@app.post('/v1/images/generations', dependencies=check_key)
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async def handle_image_generation(request: Request):
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@app.post('/v1/images/generations', response_model=ImageGenerationResponse, dependencies=check_key)
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async def handle_image_generation(request: Request, request_data: ImageGenerationRequest):
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if not os.environ.get('SD_WEBUI_URL', params.get('sd_webui_url', '')):
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raise ServiceUnavailableError("Stable Diffusion not available. SD_WEBUI_URL not set.")
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body = await request.json()
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prompt = body['prompt']
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size = body.get('size', '1024x1024')
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response_format = body.get('response_format', 'url') # or b64_json
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n = body.get('n', 1) # ignore the batch limits of max 10
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prompt = request_data.prompt
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size = request_data.size
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response_format = request_data.response_format # or b64_json
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n = request_data.n # ignore the batch limits of max 10
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partial = functools.partial(OAIimages.generations, prompt=prompt, size=size, response_format=response_format, n=n)
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response = await run_in_executor(partial)
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@ -148,6 +148,18 @@ class TranscriptionsResponse(BaseModel):
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text: str
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class ImageGenerationRequest(BaseModel):
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prompt: str
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size: str = Field(default='1024x1024')
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response_format: str = Field(default='url')
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n: int = Field(default=1)
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class ImageGenerationResponse(BaseModel):
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created: int
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data: list[dict]
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class EmbeddingsRequest(BaseModel):
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input: str | List[str] | List[int] | List[List[int]]
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model: str | None = Field(default=None, description="Unused parameter. To change the model, set the OPENEDAI_EMBEDDING_MODEL and OPENEDAI_EMBEDDING_DEVICE environment variables before starting the server.")
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