Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import numpy as np
 import random
-#import spaces #[uncomment to use ZeroGPU]
+import spaces
 from diffusers import StableDiffusionPipeline, StableDiffusionImg2ImgPipeline
 import torch
 
@@ -22,7 +22,7 @@ else:
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-#@spaces.GPU #[uncomment to use ZeroGPU]
+@spaces.GPU
 def infer_t2i(model, prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
 
     if randomize_seed:
@@ -46,7 +46,7 @@ def infer_t2i(model, prompt, negative_prompt, seed, randomize_seed, width, heigh
     
     return image, seed
 
-#@spaces.GPU #[uncomment to use ZeroGPU]
+@spaces.GPU
 def infer_i2i(model, prompt, image, strength, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
 
     if randomize_seed:
@@ -72,7 +72,7 @@ def infer_i2i(model, prompt, image, strength, negative_prompt, seed, randomize_s
     
     return image, seed
 
-#@spaces.GPU #[uncomment to use ZeroGPU]
+@spaces.GPU
 def infer_ip_adapter(model, prompt, image, scale, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
 
     if randomize_seed: