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-rw-r--r--g4f/Provider/nexra/NexraSD15.py72
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diff --git a/g4f/Provider/nexra/NexraSD15.py b/g4f/Provider/nexra/NexraSD15.py
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+from __future__ import annotations
+
+import json
+import requests
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
+from ...image import ImageResponse
+
+class NexraSD15(AbstractProvider, 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
+ def create_completion(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ response: str = "url", # base64 or url
+ **kwargs
+ ) -> CreateResult:
+ model = cls.get_model(model)
+
+ headers = {
+ 'Content-Type': 'application/json'
+ }
+
+ data = {
+ "prompt": messages[-1]["content"],
+ "model": model,
+ "response": response
+ }
+
+ 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('_')
+ 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}"