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):