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LightVAE

LightVAE: Fast video VAE decoders for Wan2.1, Wan2.2, and MiniMax-H3, plus a compressed H3 reference encoder. Pretrained weights and ComfyUI workflows.

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GITHUB · launched Oct 10, 2026 · 24 upvotes (top 50%)

Similar launches

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Could you build this?

No This is a peer-reviewed academic ML research project featuring custom Conv3D reparameterization, low-rank compression, and probe-guided feature alignment across video diffusion backbones.

What it would actually take: Building LightVAE requires deep expertise in generative video architectures (Wan, MiniMax), low-level PyTorch/CUDA kernel optimization, and complex model surgery (temporal low-rank reparameterization, width-preserving pruning, and teacher-guided distillation). It also requires tens to hundreds of GPU hours on clusters with H100s/RTX GPUs to benchmark and train.

Competitors

Other products that read as similar to this one : 67 launches clear the similarity bar, closest 8 shown.

Attention rank: #41 of 68 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 240 days after the earliest competitor.

Other launches for this product

More details
External ID
1412892153
Company
n/a
Product
LightVAE
Website domain
arxiv.org
Cohort
n/a
Upvotes percentile
0.50
All tags
comfyui, comfyui-custom-node, minimax-h3, video-generation, video-vae, wan21, wan22
AI summary
fast video vae decoders for generative video models
Manually corrected
No