gpt4free/g4f/Provider/FluxAirforce.py

70 lines
2.3 KiB
Python

from __future__ import annotations
from aiohttp import ClientSession
from urllib.parse import urlencode
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..image import ImageResponse
class FluxAirforce(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://flux.api.airforce/"
api_endpoint = "https://api.airforce/v1/imagine2"
working = True
default_model = 'flux-realism'
models = [
'flux',
'flux-realism',
'flux-anime',
'flux-3d',
'flux-disney'
]
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"origin": "https://flux.api.airforce",
"priority": "u=1, i",
"referer": "https://flux.api.airforce/",
"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-site",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36"
}
# Assume the last message in the messages list is the prompt
prompt = messages[-1]['content'] if messages else ""
params = {
"prompt": prompt,
"size": kwargs.get("size", "1:1"),
"seed": kwargs.get("seed"),
"model": model
}
# Remove None values from params
params = {k: v for k, v in params.items() if v is not None}
async with ClientSession(headers=headers) as session:
async with session.get(f"{cls.api_endpoint}", params=params, proxy=proxy) as response:
response.raise_for_status()
# Get the URL of the generated image
image_url = str(response.url)
# Create an ImageResponse object
image_response = ImageResponse(image_url, prompt)
yield image_response