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DiffSynth-Studio 2.0 major update

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2025-12-04 16:33:07 +08:00
parent afd101f345
commit 72af7122b3
758 changed files with 26462 additions and 2221398 deletions
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18
examples/wanvideo/model_inference/Wan2.1-VACE-1.3B-Preview.py
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@@ -1,7 +1,7 @@
import torch
from PIL import Image
from diffsynth import save_video, VideoData
from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig
from diffsynth.utils.data import save_video, VideoData
from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
from modelscope import dataset_snapshot_download
@@ -9,12 +9,12 @@ pipe = WanVideoPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="diffusion_pytorch_model*.safetensors", offload_device="cpu"),
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"),
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"),
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="diffusion_pytorch_model*.safetensors"),
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
ModelConfig(model_id="iic/VACE-Wan2.1-1.3B-Preview", origin_file_pattern="Wan2.1_VAE.pth"),
],
tokenizer_config=ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="google/umt5-xxl/"),
)
pipe.enable_vram_management()
dataset_snapshot_download(
dataset_id="DiffSynth-Studio/examples_in_diffsynth",
@@ -30,7 +30,7 @@ video = pipe(
vace_video=control_video,
seed=1, tiled=True
)
save_video(video, "video1.mp4", fps=15, quality=5)
save_video(video, "video_1_Wan2.1-VACE-1.3B-Preview.mp4", fps=15, quality=5)
# Reference image -> Video
video = pipe(
@@ -39,7 +39,7 @@ video = pipe(
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)
save_video(video, "video_2_Wan2.1-VACE-1.3B-Preview.mp4", fps=15, quality=5)
# Depth video + Reference image -> Video
video = pipe(
@@ -49,4 +49,4 @@ video = pipe(
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)
save_video(video, "video_3_Wan2.1-VACE-1.3B-Preview.mp4", fps=15, quality=5)