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NVIDIA
NVIDIA
Cosmos-1.0-Tokenizer-DV8x16x16
Model
NVIDIA
NVIDIA
Cosmos-1.0-Tokenizer-DV8x16x16

Cosmos Tokenizer is a suite of visual tokenizers for images and videos that delivers various compression rates while maintaining high reconstruction quality.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application & Domain:Tokenization of images and videos
Model Type:Auto-Encoder
Intended Users:Generative AI developers for image and video generation models
Output:Images/Videos and Latent Tokens
Describe how the model works:Compresses and decompresses visual input (image/video).
Technical Limitations:Due to tokenizer compression limitations, some visual information (such as small text and other structured fine details) may not be reconstructed accurately. The tokenizers may not produce as high of a reconstruction results for videos with low resolution, e.g. less than 320p.
Verified to have met prescribed NVIDIA quality standards:Yes
Performance Metrics:Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Reconstruction Fréchet Video Distance (rFVD), Reconstruction Fréchet Inception Distance (rFID), Latency
Potential Known Risks:Tokenizer's output can parse all forms of input, including what may be considered toxic, offensive, or indecent.
Licensing:NVIDIA Open Model License