gpt4free/g4f/Provider/nexra/NexraSDTurbo.py

70 lines
2.2 KiB
Python

from __future__ import annotations
import json
import requests
from ...typing import CreateResult, Messages
from ..base_provider import ProviderModelMixin, AbstractProvider
from ...image import ImageResponse
class NexraSDTurbo(AbstractProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion Turbo"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
default_model = "sdxl-turbo"
models = [default_model]
@classmethod
def get_model(cls, model: str) -> str:
return cls.default_model
@classmethod
def create_completion(
cls,
model: str,
messages: Messages,
proxy: str = None,
response: str = "url", # base64 or url
strength: str = 0.7, # Min: 0, Max: 1
steps: str = 2, # Min: 1, Max: 10
**kwargs
) -> CreateResult:
model = cls.get_model(model)
headers = {
'Content-Type': 'application/json'
}
data = {
"prompt": messages[-1]["content"],
"model": model,
"response": response,
"data": {
"strength": strength,
"steps": steps
}
}
response = requests.post(cls.api_endpoint, headers=headers, json=data)
result = cls.process_response(response)
yield result
@classmethod
def process_response(cls, response):
if response.status_code == 200:
try:
content = response.text.strip()
content = content.lstrip('_') # Remove the leading underscore
data = json.loads(content)
if data.get('status') and data.get('images'):
image_url = data['images'][0]
return ImageResponse(images=[image_url], alt="Generated Image")
else:
return "Error: No image URL found in the response"
except json.JSONDecodeError as e:
return f"Error: Unable to decode JSON response. Details: {str(e)}"
else:
return f"Error: {response.status_code}, Response: {response.text}"