Update app.py

app.py

@@ -4,7 +4,7 @@ import random
 import os
 
 # import spaces #[uncomment to use ZeroGPU]
-from diffusers import AutoPipelineForText2Image, AutoencoderKL, AutoencoderTiny
+from diffusers import AutoPipelineForText2Image, AutoencoderTiny
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -19,7 +19,6 @@ else:
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 pipe = pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", token=hf_token, torch_dtype=torch.bfloat16)
 pipe.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
-good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=dtype).to(device)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -49,7 +48,6 @@ def infer(
         width=width,
         height=height,
         generator=generator,
-        good_vae=good_vae,
     ).images[0]
 
     return image, seed