Update app.py

app.py

@@ -48,12 +48,7 @@ root.addHandler(handler2)
 
 dtype = torch.float16
 device = "cuda"
-#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)
-#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)
 
 # variable data
@@ -64,13 +59,13 @@ result = []
 # precision data
 
 seq=512
-fast=False
-fps=25
+fast=True
+fps=20
 time=1
 width=896
 height=896
-step=50
-accu=7.5
+step=40
+accu=8.5
 
 # ui data
 
@@ -126,7 +121,6 @@ pipe.scheduler = DDIMScheduler(
     timestep_spacing="trailing",
     steps_offset=1
 )
-#pipe.unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device), strict=False)
 pipe.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter-plus_sd15.bin")
 pipe.enable_free_init(method="butterworth", use_fast_sampling=fast)