Update app.py

app.py

@@ -5,7 +5,7 @@ import torch
 from PIL import Image
 import os
 
-import spaces
+# import spaces
 
 from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
 from kolors.pipelines.pipeline_stable_diffusion_xl_chatglm_256_ipadapter import StableDiffusionXLPipeline
@@ -61,7 +61,7 @@ pipe.load_ip_adapter(f'{root_dir}/weights/Kolors-IP-Adapter-Plus', subfolder="",
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-@spaces.GPU(duration=80)
+# @spaces.GPU(duration=80)
 def infer(prompt, ip_adapter_image, ip_adapter_scale=0.5, negative_prompt="", seed=100, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=50, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)