DiffSynth-Studio/HunyuanVideo_MLLM_text_encoder

🤗 Hugging Face 来源apache-2.08B 参数16 GBsafetensors✓ 5 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo DiffSynth-Studio/HunyuanVideo_MLLM_text_encoder ./model-folder
需要做种者 →

HunyuanVideo_MLLM_text_encoder

This model is adapted from the llava-llama-3-8b-v1_1-transformers model, retaining only its model.language_model and processor.tokenizer. This organization is not the provider of the original model and has no legal affiliation with it.

Intended for use as a text encoder for the HunyuanVideo open-source model.

You can download the model using the following git clone command or the ModelScope SDK:

SDK Download

# Install ModelScope
pip install modelscope
# Download model via SDK
from modelscope import snapshot_download
model_dir = snapshot_download('DiffSynth-Studio/HunyuanVideo_MLLM_text_encoder')

Git Download

# Git model download
git clone https://www.modelscope.cn/DiffSynth-Studio/HunyuanVideo_MLLM_text_encoder.git