# LBH-123-AI/Comfyui\_Minimax\_h3\_latent\_Upscaler

<https://repo.masters-masters.com/en/repos/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler>

[Home](https://repo.masters-masters.com/en) › [LBH-123-AI](https://repo.masters-masters.com/en/owners/LBH-123-AI) › [Comfyui\_Minimax\_h3\_latent\_Upscaler](https://repo.masters-masters.com/en/repos/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler)

LBH-123-AI/Comfyui\_Minimax\_h3\_latent\_Upscaler has 817 stars on GitHub. Its RepoMasters card: Beta tier. Neural latent upscaler for Minimax H3 (24ch). Bypasses…

| Field | Value |
| --- | --- |
| Owner | [LBH-123-AI](https://repo.masters-masters.com/en/owners/LBH-123-AI) |
| Stars | 817 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [LBH-123-AI/Comfyui\_Minimax\_h3\_latent\_Upscaler](https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler) |

## Repository

Neural latent upscaler for Minimax H3 (24ch). Bypasses costly 5B-param VAE decode/encode. Upscale low-res latents directly, then refine. Accelerates high-res video gen, outperforms naive interp.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.