Update app.py

app.py

@@ -34,11 +34,11 @@ step = 4
 accu=2
 repo = "ByteDance/AnimateDiff-Lightning"
 ckpt = f"animatediff_lightning_{step}step_diffusers.safetensors"
-#base = "emilianJR/epiCRealism"
-base = "SG161222/Realistic_Vision_V6.0_B1_noVAE"
-vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse").to(device, dtype=dtype)
+base = "emilianJR/epiCRealism"
+#base = "SG161222/Realistic_Vision_V6.0_B1_noVAE"
+#vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse").to(device, dtype=dtype)
 #unet = UNet2DConditionModel.from_config("emilianJR/epiCRealism",subfolder="unet").to(device, dtype).load_state_dict(load_file(hf_hub_download("emilianJR/epiCRealism", "unet/diffusion_pytorch_model.safetensors"), device=device), strict=False)
-adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-3", torch_dtype=dtype, device=device)
+#adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-3", torch_dtype=dtype, device=device)
 
 css="""
 input, input::placeholder {
@@ -193,7 +193,7 @@ def run(i,m,p1,p2,*result):
 
         return out
 
-pipe = AnimateDiffPipeline.from_pretrained(base, motion_adapter=adapter, vae=vae, torch_dtype=dtype).to(device)
+pipe = AnimateDiffPipeline.from_pretrained(base, torch_dtype=dtype).to(device)
 pipe.scheduler = DDIMScheduler(
         clip_sample=False,
         beta_start=0.00085,