Restored provider (g4f/Provider/nexra/NexraSD15.py)

g4f/Provider/nexra/NexraSD15.py

@@ -1,18 +1,16 @@
 from __future__ import annotations
 
 import json
-from aiohttp import ClientSession
+import requests
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
 from ...image import ImageResponse
 
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-
-class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
+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 = False
+    working = True
     
     default_model = 'stablediffusion-1.5'
     models = [default_model]
@@ -29,42 +27,46 @@ class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
             return cls.model_aliases[model]
         else:
             return cls.default_model
-
+            
     @classmethod
-    async def create_async_generator(
+    def create_completion(
         cls,
         model: str,
         messages: Messages,
         proxy: str = None,
         response: str = "url",  # base64 or url
         **kwargs
-    ) -> AsyncResult:
+    ) -> CreateResult:
         model = cls.get_model(model)
-        
+
         headers = {
-            "Content-Type": "application/json",
+            '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()
+        
+        data = {
+            "prompt": messages[-1]["content"],
+            "model": model,
+            "response": response
+        }
+        
+        response = requests.post(cls.api_endpoint, headers=headers, json=data)
 
-                # Clean the response by removing unexpected characters
-                cleaned_response = text_response.strip('__')
+        result = cls.process_response(response)
+        yield result
 
-                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.")
+    @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}"

g4f/models.py

@@ -52,6 +52,7 @@ from .Provider import (
     NexraGeminiPro,
     NexraMidjourney,
     NexraQwen,
+    NexraSD15,
     OpenaiChat,
     PerplexityLabs,
     Pi,
@@ -740,6 +741,13 @@ sdxl = Model(
     
 )
 
+sd_1_5 = Model(
+    name = 'sd-1.5',
+    base_provider = 'Stability AI',
+    best_provider = NexraSD15
+    
+)
+
 sd_3 = Model(
     name = 'sd-3',
     base_provider = 'Stability AI',
@@ -1095,6 +1103,7 @@ class ModelUtils:
         
 ### Stability AI ###
 'sdxl': sdxl,
+'sd-1.5': sd_1_5,
 'sd-3': sd_3,