Update app.py

app.py

@@ -8,15 +8,18 @@ from diffusers import DiffusionPipeline, StableDiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "alexanz/SD14_lora_pusheen"  # Replace to the model you would like to use
+model_repo_id = "CompVis/stable-diffusion-v1-4"  # Replace to the model you would like to use
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
 pipe = pipe.to(device)
+pipe.unet = PeftModel.from_pretrained(pipe.unet, "alexanz/SD14_lora_pusheen")
+pipe.safety_checker = None
+pipe.requires_safety_checker = False
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 512