Detailed Installation Guide for Index-AniSora
The installation process is divided into four key steps:
- code cloning::
Clone the official repository with the git command:git clone https://github.com/bilibili/Index-anisora.git
cd Index-anisora - Environment Configuration::
Requires a Python 3.8+ environment, with care taken when installing dependent libraries:- PyTorch requires matching hardware version (dedicated version for Rise NPU)
- CogVideoX and Wan2.1 dependencies need to be fully installed
- Huawei Rise users need to install CANN development kit additionally.
- Weight Acquisition::
Model weights need to be requested from the Bilibili technical team, the process includes:- Fill out the official application form (PDF format)
- Send to designated email address for review
- Download the weights file after obtaining authorization
- Verify Installation::
Run the test command to check the integrity of the environment, it is recommended to test the base functionality for the first time using the example prompt.
common problems: GPU users need to pay attention to CUDA version compatibility; Windows systems may require additional configuration of the WSL environment; model weight files need to be placed in the specified directory structure.
This answer comes from the articleIndex-AniSora: Bilibili open source anime video generation toolThe
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