USE CPU

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import torch
+from PIL import Image
 from diffusers import DiffusionPipeline
 import numpy as np
 
@@ -8,7 +9,7 @@ multi_view_diffusion_pipeline = DiffusionPipeline.from_pretrained(
     custom_pipeline="dylanebert/multi-view-diffusion",
     torch_dtype=torch.float16,
     trust_remote_code=True,
-).to("cuda")
+).to("cpu")
 
 def run(image):
   image = np.array(image, dtype=np.float32) / 255.0