Update app.py

app.py

@@ -13,24 +13,24 @@ if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
     torch.cuda.empty_cache()
     
-    pipe = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
     torch.cuda.empty_cache()
     
-    refiner = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
+    refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
     refiner.enable_xformers_memory_efficient_attention()
     refiner = refiner.to(device)
     torch.cuda.empty_cache()
     
-    upscaler = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", torch_dtype=torch.float16, use_safetensors=True)
+    upscaler = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True)
     upscaler.enable_xformers_memory_efficient_attention()
     upscaler = upscaler.to(device)
     torch.cuda.empty_cache()
 else: 
-    pipe = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
     pipe = pipe.to(device)
-    refiner = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", use_safetensors=True)
+    refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
     refiner = refiner.to(device)
     
 def genie (prompt, negative_prompt, height, width, scale, steps, seed, upscaling):