update

app.py

@@ -4,7 +4,7 @@ from custom_pipeline import CosStableDiffusionXLInstructPix2PixPipeline
 from huggingface_hub import hf_hub_download
 import numpy as np
 import math
-import spaces 
+#import spaces 
 import torch 
 
 if torch.backends.mps.is_available():
@@ -43,11 +43,11 @@ pipe_normal = StableDiffusionXLPipeline.from_single_file(normal_file, torch_dtyp
 pipe_normal.scheduler = EDMEulerScheduler(sigma_min=0.002, sigma_max=120.0, sigma_data=1.0, prediction_type="v_prediction")
 pipe_normal.to(DEVICE)
 
-@spaces.GPU
+#@spaces.GPU
 def run_normal(prompt, negative_prompt="", guidance_scale=7, progress=gr.Progress(track_tqdm=True)):
     return pipe_normal(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, num_inference_steps=20).images[0]
 
-@spaces.GPU
+#@spaces.GPU
 def run_edit(image, prompt, negative_prompt="", guidance_scale=7, progress=gr.Progress(track_tqdm=True)):
     resolution = 1024
     image.resize((resolution, resolution))