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71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from ...image import ImageResponse
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
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class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
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label = "Nexra Stable Diffusion 1.5"
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url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
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api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
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working = False
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default_model = 'stablediffusion-1.5'
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models = [default_model]
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model_aliases = {
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"sd-1.5": "stablediffusion-1.5",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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response: str = "url", # base64 or url
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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headers = {
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"Content-Type": "application/json",
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}
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async with ClientSession(headers=headers) as session:
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data = {
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"prompt": messages,
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"model": model,
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"response": response
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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text_response = await response.text()
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# Clean the response by removing unexpected characters
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cleaned_response = text_response.strip('__')
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if not cleaned_response.strip():
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raise ValueError("Received an empty response from the server.")
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try:
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json_response = json.loads(cleaned_response)
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image_url = json_response.get("images", [])[0]
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# Create an ImageResponse object
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image_response = ImageResponse(images=image_url, alt="Generated Image")
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yield image_response
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except json.JSONDecodeError:
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raise ValueError("Unable to decode JSON from the received text response.")
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