Update app.py

app.py

@@ -70,9 +70,9 @@ pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-me
 #pipe = torch.compile(pipe)
 # pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
 
-refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("ford442/stable-diffusion-xl-refiner-1.0-bf16", vae=vae, scheduler=EulerAncestralDiscreteScheduler.from_config(refiner.scheduler.config, beta_schedule="scaled_linear"),use_safetensors=True, requires_aesthetics_score=True).to(device=torch.device("cuda:0"), dtype=torch.bfloat16)
+refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("ford442/stable-diffusion-xl-refiner-1.0-bf16", vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16"), use_safetensors=True, requires_aesthetics_score=True).to(device=torch.device("cuda:0"), dtype=torch.bfloat16)
 #refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=vae, torch_dtype=torch.float32, requires_aesthetics_score=True, device_map='balanced')
-
+refiner.scheduler=EulerAncestralDiscreteScheduler.from_config(refiner.scheduler.config, beta_schedule="scaled_linear")
 #refiner.enable_model_cpu_offload()
 
 #refiner.scheduler.config.requires_aesthetics_score=False