Update app.py

app.py

@@ -7,9 +7,9 @@ from diffusers import StableDiffusionXLPipeline, EulerDiscreteScheduler
 accelerator = Accelerator(cpu=True)
 
 pipe = accelerator.prepare(StableDiffusionXLPipeline.from_single_file("https://huggingface.co/lllyasviel/fav_models/fav/realisticStockPhoto_v10.safetensors", torch_dtype=torch.bfloat16, use_safetensors=True, variant=None, safety_checker=False))
-##pipe = accelerator.prepare(pipe.load_lora_weights("./", local_files_only=False, repo_type="space", adapter_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors", weight_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors"))
+pipe = accelerator.prepare(pipe.load_lora_weights("./", local_files_only=False, repo_type="space", adapter_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors", weight_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors"))
 ##pipe = accelerator.prepare(pipe.fuse_lora())
-pipe = accelerator.prepare(pipe.unet.load_attn_procs("./", weight_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors"))
+##pipe = accelerator.prepare(pipe.unet.load_attn_procs("./", weight_name="SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors"))
 ##pipe.scheduler = accelerator.prepare(EulerDiscreteScheduler.from_config(pipe.scheduler.config))
 ##pipe.unet.to(memory_format=torch.channels_last)
 pipe.to("cpu")