comment sdxl

app.py

@@ -185,18 +185,18 @@ model.load_state_dict(state_dict, strict=True)
 
 model = model.to(device)
 
-# Load text-to-image model
-print('Loading text-to-image model ...')
-
-pipe = StableDiffusionXLPipeline.from_pretrained(
-    "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16)
-pipe.to(device="cuda", dtype=torch.bfloat16)
-
-unet_state = load_file(hf_hub_download(
-    "ByteDance/Hyper-SD", "Hyper-SDXL-1step-Unet.safetensors"), device="cuda")
-pipe.unet.load_state_dict(unet_state)
-pipe.scheduler = LCMScheduler.from_config(
-    pipe.scheduler.config, timestep_spacing="trailing")
+# # Load text-to-image model
+# print('Loading text-to-image model ...')
+
+# pipe = StableDiffusionXLPipeline.from_pretrained(
+#     "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16)
+# pipe.to(device="cuda", dtype=torch.bfloat16)
+
+# unet_state = load_file(hf_hub_download(
+#     "ByteDance/Hyper-SD", "Hyper-SDXL-1step-Unet.safetensors"), device="cuda")
+# pipe.unet.load_state_dict(unet_state)
+# pipe.scheduler = LCMScheduler.from_config(
+#     pipe.scheduler.config, timestep_spacing="trailing")
 
 print('Loading Finished!')