Update app.py

app.py

@@ -61,10 +61,11 @@ transformer = SD3Transformer2DModel.from_pretrained(
     model_path, subfolder="transformer", torch_dtype=torch.bfloat16
 )
 
+vaeX=AutoencoderKL.from_pretrained("ford442/stable-diffusion-3.5-large-fp32", safety_checker=None, use_safetensors=True, low_cpu_mem_usage=False, subfolder='vae', torch_dtype=torch.float32, token=True)
+
 pipe = StableDiffusion3Pipeline.from_pretrained(
     #"stabilityai  #  stable-diffusion-3.5-large",
     "ford442/stable-diffusion-3.5-large-bf16",
-#    vae=AutoencoderKL.from_pretrained("ford442/stable-diffusion-3.5-large-fp32", use_safetensors=True, subfolder='vae',token=True),
      #scheduler = FlowMatchHeunDiscreteScheduler.from_pretrained('ford442/stable-diffusion-3.5-large-bf16', subfolder='scheduler',token=True),
     text_encoder=None, #CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder', token=True),
     text_encoder_2=None, #CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_2',token=True),
@@ -74,13 +75,14 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
     tokenizer_3=T5TokenizerFast.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", use_fast=True, subfolder="tokenizer_3", token=True),
     torch_dtype=torch.bfloat16,
     transformer=transformer,
+    vae=None
     #use_safetensors=False,
 )
 
 #pipe.to(device=device, dtype=torch.bfloat16)
 
 pipe.to(device)
-
+pipe.vae=vaeX.to(device)
 text_encoder=CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder', token=True).to(device=device, dtype=torch.bfloat16)
 text_encoder_2=CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_2',token=True).to(device=device, dtype=torch.bfloat16)
 text_encoder_3=T5EncoderModel.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_3',token=True).to(device=device, dtype=torch.bfloat16)