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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 NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion 1.5"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
default_model = 'stablediffusion-1.5'
models = [default_model]
model_aliases = {
"sd-1.5": "stablediffusion-1.5",
}
@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:
data = {
"prompt": messages,
"model": model,
"response": response
}
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.")
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