Update app.py

app.py

@@ -16,22 +16,6 @@ model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
 vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
 pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
 flow_shift = 1.0 #5.0  1.0 for image, 5.0 for 720P, 3.0 for 480P
-# pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
-import torch
-from diffusers import DDIMScheduler  # Changed to DDIMScheduler
-from diffusers import WanPipeline, AutoencoderKLWan
-from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
-from transformers import T5EncoderModel, T5Tokenizer
-from PIL import Image
-import numpy as np
-import gradio as gr
-import spaces
-
-model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
-vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
-pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
-flow_shift = 1.0  # 1.0 for image, 5.0 for 720P, 3.0 for 480P
-
 # pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
 
 # Configure DDIMScheduler with a beta schedule