Index-AniSora - Open Source Anime Video Generation Model by B Station

What is Index-AniSora?

Index-AniSora is an open source advanced anime video generation model for Beili Beili. The model can generate coherent animation videos based on a single picture, supporting various styles, such as drama, national animation, VTuber content, etc. The model is based on a diffusion model architecture, combined with a 3D causal-division self-encoder and Transformer technology. The model is based on diffusion model architecture, combined with spatio-temporal mask module, 3D causal variant self-encoder and Transformer technology, to realize image-to-video generation, frame interpolation, local image guidance and other functions. Based on supervised fine-tuning, the model is excellent in character consistency, motion consistency, etc. Index-AniSora provides a benchmark dataset of 948 diverse animation videos for evaluation, which can be used to dramatically improve the efficiency of creation in the fields of animation production, VTuber content creation, creative validation, education and training, as well as marketing and entertainment.

Index-AniSora's main features

• Image to Video Generation: Generate coherent animated videos based on a single image, capable of expanding static images into dynamic scenes.
• frame interpolation: Automatically generate intermediate frames for smooth transitions and reduce manual drawing effort.
• Localized image guidance: Supports user-specified specific areas for animation generation for localized control.
• space-time control: Combining the ability to control time and space, it supports first frame, last frame, multi-frame guidance and other methods to realize precise animation creation.
• Multi-style support: It supports generating videos in a variety of animation styles, including fanfiction, nationally created animation, manga adaptations, VTuber content, etc., to meet different needs.

Index-AniSora's official website address

• GitHub repository::https://github.com/bilibili/Index-anisora/
• HuggingFace Model Library::https://huggingface.co/IndexTeam/Index-anisora
• arXiv Technical Paper::https://arxiv.org/pdf/2412.10255

How to use Index-AniSora

• Getting Model Resources: Download code and model files from the GitHub repository, or load pre-trained models from the HuggingFace model repository.
• Installation of dependencies: Install the required Python packages and dependencies according to the project's README.md file.
• sample command (computing)::

pip install -r requirements.txt

• Preparing to enter data: Prepare input data as required, e.g:
  • Single Picture: Used in image-to-video generation.
  • keyframe: Used in frame interpolation or spatio-temporal control.
  • Specify the mask of the area: Used in localized image guidance.
• operational model: Run the model to generate an animated video based on a script or code example provided by the project. Usually you need to specify the input data path, model parameters and so on. Sample code (in Python for example):

from index_anisora import AniSoraModel

# 加载模型
model = AniSoraModel.from_pretrained("IndexTeam/Index-anisora")

# 准备输入数据
input_image = "path/to/your/image.jpg"
mask = "path/to/your/mask.png"  # 如果需要局部引导

# 生成视频
output_video = model.generate_video(input_image, mask=mask, style="anime")

# 保存输出视频
output_video.save("output_video.mp4")

• Adjustment parameters: Adjust the generation parameters as needed, for example:
  • Animation style: Choose from a variety of animation styles (e.g., Fanshawe, Kokusai, VTuber, etc.).
  • space-time control: Specify the first, last, or keyframe.
  • Frame rate and duration: Adjust the frame rate and duration of the generated video.
• View Generated Results: Check that the generated video meets expectations and adjust the parameters to optimize the result.

Index-AniSora's Core Advantages

• High-quality generation: Generate coherent, high-quality animated videos based on large-scale, high-quality dataset training, combined with advanced techniques such as diffusion modeling.
• Versatile Functions: Supports image-to-video generation, frame interpolation, localized image guidance, temporal and spatial control, and other functions to meet a variety of creative needs.
• Stylish: Generate a variety of animation styles, including番剧, 國創动画, 漫漫改编, VTuber content, etc., adapting to the needs of different users.
• technologically advanced: Based on spatio-temporal mask module, 3D causal variational self-encoder, Transformer and other technologies to improve the generation effect and efficiency.
• open source and easy to use: Provides open source code and pre-trained models with detailed documentation and examples for developers and creators to get started quickly.
• wide application: Apply to animation production, VTuber content creation, creative validation, education and training, marketing and entertainment, and other scenarios to enhance the efficiency and effectiveness of creation.

Who is Index-AniSora for?

• Animation creators: Includes professional studios and independent creators to quickly generate animation clips and improve creative efficiency.
• Virtual Host (VTuber): Generate dynamic videos of dances, performances, etc. to enrich content and enhance interaction with fans.
• creative worker: e.g., advertising and marketing teams for quick validation of ideas, generation of animated ads and promotional videos.
• educator: As a teaching tool to help students and novices quickly master animation skills.
• Entertainment industry practitioners: Film and TV production and game development teams for special effects or animation clip generation.