English
Index-AniSora is a top animation video generation model open sourced by B station. It is implemented based on AniSora technology and supports one-click generation of a variety of two-dimensional style video lenses, such as dramas, domestic creations, comic animation, VTuber, animation PV and ghost animal animation. This model comprehensively improves the production efficiency and quality of animation content through a reinforcement learning technology framework, and its technical principles have been accepted by IJCAI2025. Index-AniSora 's open source has brought new technological breakthroughs to the field of animation video generation, providing developers and creators with powerful tools to promote the further development of 2D content creation.
Demand population:
"This model is suitable for animation creators, video producers, 2D enthusiasts and developers in related fields. It can help creators quickly generate high-quality animated videos, saving time and energy, and at the same time provide developers with powerful technical tools to promote innovation and development of 2D content creation."
Example of usage scenarios:
User input: 'In the picture, a person is running forward quickly, and his running speed makes the character a little blurred', and the animation video corresponding to the running scene can be generated.
Enter 'The character in the picture lifts his arm upwards, and the gas on his arm is flowing', generating an animation effect of the character's arm having gas flowing.
Enter the man on the left pursed his lips tightly, his face full of anger and determination. His expression conveys endless setbacks and firm beliefs. At the same time, another man's mouth was wide open, as if he was about to speak loudly or shout, generating animated videos with two men's different expressions.
Product Features:
Supports multiple 2D style video generation: covering various styles such as dramas, domestic creations, comics and animations, to meet the needs of different users.
Generate animated videos with one click: Users only need to enter simple commands or prompt words to quickly generate high-quality animated videos, greatly improving creative efficiency.
Reinforcement learning technology framework: align and optimize the animation video generation through human feedback, so that the generated content is closer to human preferences and improve video quality.
High-quality reward dataset: The first high-quality reward dataset for the animation field was constructed, containing 30,000 artificially annotated animation video samples, providing rich data support for model training.
Multi-dimensional evaluation system: Evaluate video quality from two aspects: visual appearance and visual consistency, covering multiple dimensions such as visual smoothness, visual motion, and visual attraction to ensure high quality of generated videos.
Tutorials for use:
Access the model open source address and obtain model code and related resources.
According to the documentation and tutorials, install the necessary dependencies and environments and configure the parameters required for model operation.
Prepare input data, such as text prompt words or initial images, and process them in the format required by the model.
Run the model to generate animated videos, adjust the generation parameters as needed, and optimize the generation effect.
View the generated animated video, further edit and process according to needs, and complete the creation.
