Search is not available for this dataset
caption
string | vae_latent_bytes
unknown | vae_latent_shape
list | vae_latent_dtype
string | text_embedding_bytes
unknown | text_embedding_shape
list | text_embedding_dtype
string | text_attention_mask_bytes
unknown | text_attention_mask_shape
list | text_attention_mask_dtype
string | clip_feature_bytes
unknown | clip_feature_shape
list | clip_feature_dtype
string | first_frame_latent_bytes
unknown | first_frame_latent_shape
list | first_frame_latent_dtype
string | pil_image_bytes
unknown | pil_image_shape
list | pil_image_dtype
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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float32
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int64
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float32
|
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float32
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float32
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float32
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float32
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float32
|
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float32
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int64
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float32
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float32
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float32
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| "ZrINPy6Wjj9FYYQ/qbKAP65peD/l7oM/uTaNPxkxhD+mC44/yiuWP4yUmT9kyYc/jB4lP/J0IT+ISEs/X4aMPxIaPT+0MLs+jgU(...TRUNCATED)
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float32
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End of preview. Expand
in Data Studio
FastVideo Synthetic Wan2.1 480P dataset
Dataset Overview
- The prompts were randomly sampled from the Vchitect_T2V_DataVerse dataset.
- Each sample was generated using the Wan2.1-T2V-14B-Diffusers model and stored the latents.
- The resolution of each latent sample corresponds to 77 frames, with each frame sized 448×832.
- It includes all preprocessed latents required for both Text-to-Video (T2V) and Image-to-Video (I2V) tasks (Latents after VAE and CLIP).
- The dataset is fully compatible with the FastVideo repository and can be directly loaded and used without any additional preprocessing.
If you use FastVideo Synthetic Wan2.1 dataset for your research, please cite our paper:
@article{zhang2025vsa,
title={VSA: Faster Video Diffusion with Trainable Sparse Attention},
author={Zhang, Peiyuan and Huang, Haofeng and Chen, Yongqi and Lin, Will and Liu, Zhengzhong and Stoica, Ion and Xing, Eric and Zhang, Hao},
journal={arXiv preprint arXiv:2505.13389},
year={2025}
}
@article{zhang2025fast,
title={Fast video generation with sliding tile attention},
author={Zhang, Peiyuan and Chen, Yongqi and Su, Runlong and Ding, Hangliang and Stoica, Ion and Liu, Zhengzhong and Zhang, Hao},
journal={arXiv preprint arXiv:2502.04507},
year={2025}
}
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