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Diffstat (limited to '')
-rw-r--r-- | g4f/Provider/nexra/NexraSD21.py | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/g4f/Provider/nexra/NexraSD21.py b/g4f/Provider/nexra/NexraSD21.py new file mode 100644 index 00000000..fc5c90d9 --- /dev/null +++ b/g4f/Provider/nexra/NexraSD21.py @@ -0,0 +1,75 @@ +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 = True + + 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.") |