mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-18 22:08:13 +00:00
51 lines
2.2 KiB
Python
51 lines
2.2 KiB
Python
import torch
|
|
from PIL import Image
|
|
import librosa
|
|
from diffsynth.utils.data import VideoData, save_video_with_audio
|
|
from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
|
|
|
|
pipe = WanVideoPipeline.from_pretrained(
|
|
torch_dtype=torch.bfloat16,
|
|
device="cuda",
|
|
model_configs=[
|
|
ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", origin_file_pattern="diffusion_pytorch_model*.safetensors"),
|
|
ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", origin_file_pattern="wav2vec2-large-xlsr-53-english/model.safetensors"),
|
|
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"),
|
|
],
|
|
audio_processor_config=ModelConfig(model_id="Wan-AI/Wan2.2-S2V-14B", origin_file_pattern="wav2vec2-large-xlsr-53-english/"),
|
|
)
|
|
|
|
pipe.load_lora(pipe.dit, "models/train/Wan2.2-S2V-14B_lora/epoch-4.safetensors", alpha=1)
|
|
|
|
|
|
num_frames = 81 # 4n+1
|
|
height = 448
|
|
width = 832
|
|
|
|
prompt = "a person is singing"
|
|
negative_prompt = "画面模糊，最差质量，画面模糊，细节模糊不清，情绪激动剧烈，手快速抖动，字幕，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"
|
|
input_image = Image.open("data/example_video_dataset/wans2v/pose.png").convert("RGB").resize((width, height))
|
|
# s2v audio input, recommend 16kHz sampling rate
|
|
audio_path = 'data/example_video_dataset/wans2v/sing.MP3'
|
|
input_audio, sample_rate = librosa.load(audio_path, sr=16000)
|
|
# Pose video input
|
|
pose_video_path = 'data/example_video_dataset/wans2v/pose.mp4'
|
|
pose_video = VideoData(pose_video_path, height=height, width=width)
|
|
|
|
# Speech-to-video with pose
|
|
video = pipe(
|
|
prompt=prompt,
|
|
input_image=input_image,
|
|
negative_prompt=negative_prompt,
|
|
seed=0,
|
|
num_frames=num_frames,
|
|
height=height,
|
|
width=width,
|
|
audio_sample_rate=sample_rate,
|
|
input_audio=input_audio,
|
|
s2v_pose_video=pose_video,
|
|
num_inference_steps=40,
|
|
)
|
|
save_video_with_audio(video[1:], "video_Wan2.2-S2V-14B.mp4", audio_path, fps=16, quality=5)
|