Upload app.py

app.py

@@ -6,7 +6,7 @@ import warnings
 warnings.filterwarnings('ignore')
 
 # Constants
-MODEL_ID = "runwayml/stable-diffusion-v1-5"
+MODEL_ID = "CompVis/stable-diffusion-v1-4"  # Using v1.4 which is publicly available
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 DTYPE = torch.float32  # Using float32 for better compatibility
 
@@ -21,7 +21,7 @@ class FooocusGenerator:
             self.pipe = StableDiffusionPipeline.from_pretrained(
                 MODEL_ID,
                 torch_dtype=DTYPE,
-                use_auth_token=True  # For authenticated access to model
+                use_auth_token=False  # No auth token needed for v1.4
             )
             
             if DEVICE == "cuda":