Update app.py

app.py

@@ -3,18 +3,16 @@ import modin.pandas as pd
 import torch
 from PIL import Image
 import imageio
-from diffusers import StableDiffusionXLAdapterPipeline, T2IAdapter, AutoencoderKL, EulerAncestralDiscreteScheduler
+from diffusers import StableDiffusionXLAdapterPipeline, T2IAdapter
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_id = "stabilityai/stable-diffusion-xl-base-1.0"
 adapter = T2IAdapter.from_pretrained(
         "TencentARC/t2i-adapter-sketch-sdxl-1.0")
-scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+#scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
 pipe = StableDiffusionXLAdapterPipeline.from_pretrained(
         model_id,
-        vae=AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix"),
-        adapter=adapter,
-        scheduler=scheduler)
+        adapter=adapter,)
 pipe = pipe.to(device)
 
 def resize(value,img):