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Diffstat (limited to '')
-rw-r--r-- | g4f/Provider/nexra/NexraSD21.py | 75 |
1 files changed, 0 insertions, 75 deletions
diff --git a/g4f/Provider/nexra/NexraSD21.py b/g4f/Provider/nexra/NexraSD21.py deleted file mode 100644 index 46cd6611..00000000 --- a/g4f/Provider/nexra/NexraSD21.py +++ /dev/null @@ -1,75 +0,0 @@ -from __future__ import annotations - -import json -from aiohttp import ClientSession -from ...image import ImageResponse - -from ...typing import AsyncResult, Messages -from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin - - -class NexraSD21(AsyncGeneratorProvider, ProviderModelMixin): - label = "Nexra Stable Diffusion 2.1" - url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en" - api_endpoint = "https://nexra.aryahcr.cc/api/image/complements" - working = False - - default_model = 'stablediffusion-2.1' - models = [default_model] - - model_aliases = { - "sd-2.1": "stablediffusion-2.1", - } - - @classmethod - def get_model(cls, model: str) -> str: - if model in cls.models: - return model - elif model in cls.model_aliases: - return cls.model_aliases[model] - else: - return cls.default_model - - @classmethod - async def create_async_generator( - cls, - model: str, - messages: Messages, - proxy: str = None, - response: str = "url", # base64 or url - **kwargs - ) -> AsyncResult: - model = cls.get_model(model) - - headers = { - "Content-Type": "application/json", - } - async with ClientSession(headers=headers) as session: - # Directly use the messages as the prompt - data = { - "prompt": messages, - "model": model, - "response": response, - "data": { - "prompt_negative": "", - "guidance_scale": 9 - } - } - async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: - response.raise_for_status() - text_response = await response.text() - - # Clean the response by removing unexpected characters - cleaned_response = text_response.strip('__') - - if not cleaned_response.strip(): - raise ValueError("Received an empty response from the server.") - - try: - json_response = json.loads(cleaned_response) - image_url = json_response.get("images", [])[0] - # Create an ImageResponse object - image_response = ImageResponse(images=image_url, alt="Generated Image") - yield image_response - except json.JSONDecodeError: - raise ValueError("Unable to decode JSON from the received text response.") |