VADER
Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aes
Improve video models by fine-tuning them based on feedback from reward systems.
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Free · no card · unsubscribe anytimeVideo Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aes
VADER has 315 stars on GitHub. It has been forked 15 times. VADER is written mainly in Python. It has been in active development since 2024. Its main topics are alignment, diffusion, reinforcement-learning, reinforcement-learning-human-feedback.
What is VADER?
Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aes
Is VADER open source?
VADER is an open-source project.
Is VADER free?
Yes. VADER is free and open source — you can use, modify and self-host it.
What language is VADER written in?
VADER is written mainly in Python.
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