Revert "Wan refactor"

examples/wanvideo/model_inference/Wan2.1-Fun-V1.1-1.3B-Control.py

@@ -1,36 +0,0 @@
-import torch
-from PIL import Image
-from diffsynth import save_video, VideoData
-from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig
-from modelscope import dataset_snapshot_download
-
-
-pipe = WanVideoPipeline.from_pretrained(
-    torch_dtype=torch.bfloat16,
-    device="cuda",
-    model_configs=[
-        ModelConfig(model_id="PAI/Wan2.1-Fun-V1.1-1.3B-Control", origin_file_pattern="diffusion_pytorch_model*.safetensors", offload_device="cpu"),
-        ModelConfig(model_id="PAI/Wan2.1-Fun-V1.1-1.3B-Control", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"),
-        ModelConfig(model_id="PAI/Wan2.1-Fun-V1.1-1.3B-Control", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"),
-        ModelConfig(model_id="PAI/Wan2.1-Fun-V1.1-1.3B-Control", origin_file_pattern="models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth", offload_device="cpu"),
-    ],
-)
-pipe.enable_vram_management()
-
-dataset_snapshot_download(
-    dataset_id="DiffSynth-Studio/examples_in_diffsynth",
-    local_dir="./",
-    allow_file_pattern=["data/examples/wan/control_video.mp4", "data/examples/wan/reference_image_girl.png"]
-)
-
-# Control video
-control_video = VideoData("data/examples/wan/control_video.mp4", height=832, width=576)
-reference_image = Image.open("data/examples/wan/reference_image_girl.png").resize((576, 832))
-video = pipe(
-    prompt="扁平风格动漫，一位长发少女优雅起舞。她五官精致，大眼睛明亮有神，黑色长发柔顺光泽。身穿淡蓝色T恤和深蓝色牛仔短裤。背景是粉色。",
-    negative_prompt="色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-    control_video=control_video, reference_image=reference_image,
-    height=832, width=576, num_frames=49,
-    seed=1, tiled=True
-)
-save_video(video, "video.mp4", fps=15, quality=5)