Update app.py

app.py

@@ -64,10 +64,13 @@ checkpoint = "microsoft/Phi-3.5-mini-instruct"
 #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16")
 #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16")
 #vaeXL = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None, use_safetensors=False) #, device_map='cpu') #.to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
-vaeSD3 = AutoencoderKL.from_pretrained("stabilityai/stable-diffusion-3.5-medium", safety_checker=None) #, device_map='cpu') #.to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
-
-pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-medium-bf16",token=True)
+vaeSD3 = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", subfolder='sd3-medium-vae', safety_checker=None) #, device_map='cpu') #.to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
 
+pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-medium-bf16",
+    vae=None,
+    token=True
+)
+pipe.vae=vaeSD3
 pipe.load_lora_weights('ford442/sdxl-vae-bf16', weight_name='LoRA/bm-goth_epoch_9.safetensors')
 
 
@@ -80,7 +83,6 @@ pipe.load_lora_weights('ford442/sdxl-vae-bf16', weight_name='LoRA/bm-goth_epoch_
 #pipe.scheduler.config.requires_aesthetics_score = False
 #pipe.enable_model_cpu_offload()
 #pipe.to(device)
-pipe.vae=vaeSD3
 pipe.to(device)
 
 #pipe = torch.compile(pipe)