Update app.py

app.py

@@ -3,18 +3,19 @@ import numpy as np
 import random
 
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import StableDiffusionXLPipeline
+from diffusers import StableDiffusionXLPipeline, AutoencoderKL
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "RunDiffusion/Juggernaut-XL-v9"  # Replace to the model you would like to use
+vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
 else:
     torch_dtype = torch.float32
 
-pipe = StableDiffusionXLPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = StableDiffusionXLPipeline.from_pretrained(model_repo_id, vae=vae, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max