CoolFace
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MangoGoes/libero4in1_wan2.2vae_latent_dataset

LIBERO 4in1 Wan2.2-VAE Latent Cache Pre-encoded latent tensors for LIBERO 4 suites under Cosmos Wan2.2-VAE. Skip on-the-fly VAE encoding during training — load this cache directly. Overview Pre-encoded latent cache for LIBERO 4in1 benchmark (libero_spatial, libero_object, libero_goal, libero_10 — 4 suites × 10 tasks, ~1700 episodes total). Each raw video frame is encoded once with Wan2.2-VAE, then saved as .pt tensors for direct loading during action-policy… See the full description on the dataset page: https://huggingface.co/datasets/MangoGoes/libero4in1_wan2.2vae_latent_dataset.

sourceHugging Faceupdated 1mo agoView on Hugging Face
0likes229downloads
8 commits on main
2ad2eab1mo ago

README: remove License section

MangoGoes
9c2b68c1mo ago

README: full English, drop SR table

MangoGoes
96c97011mo ago

Add detailed README with project intro + encoding + loading

MangoGoes
5efa9451mo ago

Upload libero_10 wan2.2-vae latent cache

MangoGoes
94fe5201mo ago

Upload libero_goal wan2.2-vae latent cache

MangoGoes
074bada1mo ago

Upload libero_object wan2.2-vae latent cache

MangoGoes
c6458031mo ago

Upload libero_spatial wan2.2-vae latent cache

MangoGoes
48db9c41mo ago

initial commit

MangoGoes