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new wan trainer

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Artiprocher
2025-06-06 14:58:41 +08:00
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examples/wanvideo/wan_1.3b_vace.py
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import torch
from diffsynth import ModelManager, WanVideoPipeline, save_video, VideoData
from modelscope import snapshot_download, dataset_snapshot_download
from PIL import Image
# Download models
snapshot_download("iic/VACE-Wan2.1-1.3B-Preview", local_dir="models/iic/VACE-Wan2.1-1.3B-Preview")
# Load models
model_manager = ModelManager(device="cpu")
model_manager.load_models(
[
"models/iic/VACE-Wan2.1-1.3B-Preview/diffusion_pytorch_model.safetensors",
"models/iic/VACE-Wan2.1-1.3B-Preview/models_t5_umt5-xxl-enc-bf16.pth",
"models/iic/VACE-Wan2.1-1.3B-Preview/Wan2.1_VAE.pth",
],
torch_dtype=torch.bfloat16,
)
pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda")
pipe.enable_vram_management(num_persistent_param_in_dit=None)
# Download example video
dataset_snapshot_download(
dataset_id="DiffSynth-Studio/examples_in_diffsynth",
local_dir="./",
allow_file_pattern=["data/examples/wan/depth_video.mp4", "data/examples/wan/cat_fightning.jpg"]
)
# Depth video -> Video
control_video = VideoData("data/examples/wan/depth_video.mp4", height=480, width=832)
video = pipe(
prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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",
num_inference_steps=50,
height=480, width=832, num_frames=81,
vace_video=control_video,
seed=1, tiled=True
)
save_video(video, "video1.mp4", fps=15, quality=5)
# Reference image -> Video
video = pipe(
prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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",
num_inference_steps=50,
height=480, width=832, num_frames=81,
vace_reference_image=Image.open("data/examples/wan/cat_fightning.jpg").resize((832, 480)),
seed=1, tiled=True
)
save_video(video, "video2.mp4", fps=15, quality=5)
# Depth video + Reference image -> Video
video = pipe(
prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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",
num_inference_steps=50,
height=480, width=832, num_frames=81,
vace_video=control_video,
vace_reference_image=Image.open("data/examples/wan/cat_fightning.jpg").resize((832, 480)),
seed=1, tiled=True
)
save_video(video, "video3.mp4", fps=15, quality=5)