DiffSynth-Studio 2.0 major update

This commit is contained in:
root
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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@@ -1,10 +1,13 @@
# This script can generate a single video clip.
# If you need generate long videos, please refer to `Wan2.2-S2V-14B_multi_clips.py`.
import torch
from PIL import Image
import librosa
from diffsynth import VideoData, save_video_with_audio
from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig
from diffsynth.utils.data import VideoData, save_video_with_audio
from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
from modelscope import dataset_snapshot_download
pipe = WanVideoPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
@@ -14,6 +17,7 @@ pipe = WanVideoPipeline.from_pretrained(
ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", 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/"),
audio_processor_config=ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", origin_file_pattern="wav2vec2-large-xlsr-53-english/"),
)
dataset_snapshot_download(
@@ -46,7 +50,7 @@ video = pipe(
input_audio=input_audio,
num_inference_steps=40,
)
save_video_with_audio(video[1:], "video_with_audio.mp4", audio_path, fps=16, quality=5)
save_video_with_audio(video[1:], "video_1_Wan2.2-S2V-14B.mp4", audio_path, fps=16, quality=5)
# s2v will use the first (num_frames) frames as reference. height and width must be the same as input_image. And fps should be 16, the same as output video fps.
pose_video_path = 'data/example_video_dataset/wans2v/pose.mp4'
@@ -66,4 +70,4 @@ video = pipe(
s2v_pose_video=pose_video,
num_inference_steps=40,
)
save_video_with_audio(video[1:], "video_pose_with_audio.mp4", audio_path, fps=16, quality=5)
save_video_with_audio(video[1:], "video_2_Wan2.2-S2V-14B.mp4", audio_path, fps=16, quality=5)