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-rw-r--r--g4f/Provider/nexra/NexraSD15.py70
-rw-r--r--g4f/models.py9
2 files changed, 45 insertions, 34 deletions
diff --git a/g4f/Provider/nexra/NexraSD15.py b/g4f/Provider/nexra/NexraSD15.py
index 03b35013..860a132f 100644
--- a/g4f/Provider/nexra/NexraSD15.py
+++ b/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()
-
- # Clean the response by removing unexpected characters
- cleaned_response = text_response.strip('__')
+
+ data = {
+ "prompt": messages[-1]["content"],
+ "model": model,
+ "response": response
+ }
+
+ response = requests.post(cls.api_endpoint, headers=headers, json=data)
- if not cleaned_response.strip():
- raise ValueError("Received an empty response from the server.")
+ result = cls.process_response(response)
+ yield result
- 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}"
diff --git a/g4f/models.py b/g4f/models.py
index 6fa2fca1..6f36892c 100644
--- a/g4f/models.py
+++ b/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,