Update app.py

app.py

@@ -14,9 +14,9 @@ accelerator = Accelerator(cpu=True)
 pipe = accelerator.prepare(DiffusionPipeline.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float32, use_safetensors=True, safety_checker=None))
 pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config)
 pipe.text_encoder = CLIPTextModel._from_config(pipe.text_encoder.config)
-pipe.tokenizer = CLIPTokenizer.from_config(pipe.tokenizer.config)
-pipe.UNet2DConditionModel = UNet2DConditionModel.from_config("stabilityai/sd-turbo", subfolder="unet")
-pipe.AutoencoderKL = AutoencoderKL.from_config("stabilityai/sd-turbo", subfolder="vae")
+##pipe.tokenizer = CLIPTokenizer.from_config(pipe.tokenizer.config)
+##pipe.UNet2DConditionModel = UNet2DConditionModel.from_config("stabilityai/sd-turbo", subfolder="unet")
+##pipe.AutoencoderKL = AutoencoderKL.from_config("stabilityai/sd-turbo", subfolder="vae")
 pipe = accelerator.prepare(pipe.to("cpu"))
 generator = torch.Generator("cpu").manual_seed(random.randint(1, 867346))
 apol=[]