Update app.py

app.py

@@ -130,16 +130,7 @@ elapsed_time = et - st
 print('Loading VAE took: ', elapsed_time, 'seconds')
 st = time.time()
 
-base = "stabilityai/stable-diffusion-xl-base-1.0"
-repo = "ByteDance/SDXL-Lightning"
-ckpt = "sdxl_lightning_4step_unet.safetensors" 
-
-# Load model.
-unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda", torch.float16)
-unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda"))
-pipe = StableDiffusionXLInstantIDImg2ImgPipeline.from_pretrained(base,
-                                                                 unet=unet,
-                                                                 vae=vae,
+pipe = StableDiffusionXLInstantIDImg2ImgPipeline.from_pretrained("rubbrband/albedobaseXL_v21",
                                                                  controlnet=[identitynet, zoedepthnet],
                                                                  torch_dtype=torch.float16)
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)