🚀 HunyuanVideo-I2V 图像转视频项目
本项目是基于 tencent/HunyuanVideo-I2V
的非官方社区版本,提供了适用于 Diffusers 库的权重。它能够帮助用户利用图像生成视频,为图像到视频的转换任务提供了便捷的解决方案。
🚀 快速开始
环境准备
HunyuanVideo-I2V 可以直接通过 Diffusers 库使用。首先,请安装最新版本的 Diffusers 库。
代码示例
import torch
from diffusers import HunyuanVideoImageToVideoPipeline, HunyuanVideoTransformer3DModel
from diffusers.utils import load_image, export_to_video
model_id = "hunyuanvideo-community/HunyuanVideo-I2V"
transformer = HunyuanVideoTransformer3DModel.from_pretrained(
model_id, subfolder="transformer", torch_dtype=torch.bfloat16
)
pipe = HunyuanVideoImageToVideoPipeline.from_pretrained(
model_id, transformer=transformer, torch_dtype=torch.float16
)
pipe.vae.enable_tiling()
pipe.to("cuda")
prompt = "A man with short gray hair plays a red electric guitar."
image = load_image(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
)
output = pipe(image=image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4", fps=15)
更多详细信息请参考 文档。
💻 使用示例
基础用法
import torch
from diffusers import HunyuanVideoImageToVideoPipeline, HunyuanVideoTransformer3DModel
from diffusers.utils import load_image, export_to_video
model_id = "hunyuanvideo-community/HunyuanVideo-I2V"
transformer = HunyuanVideoTransformer3DModel.from_pretrained(
model_id, subfolder="transformer", torch_dtype=torch.bfloat16
)
pipe = HunyuanVideoImageToVideoPipeline.from_pretrained(
model_id, transformer=transformer, torch_dtype=torch.float16
)
pipe.vae.enable_tiling()
pipe.to("cuda")
prompt = "A man with short gray hair plays a red electric guitar."
image = load_image(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
)
output = pipe(image=image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4", fps=15)
高级用法
目前文档未提供高级用法的相关代码,你可以参考 文档 探索更多功能。
📚 详细文档
更多关于 HunyuanVideo-I2V 的详细信息,请参考 官方文档。
📦 模型信息
属性 |
详情 |
基础模型 |
tencent/HunyuanVideo-I2V |
库名称 |
diffusers |
任务类型 |
图像到视频 |