---
license: other
license_name: minimax-h3-community-license-agreement
license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE
pipeline_tag: image-text-to-video
base_model:
- MiniMaxAI/MiniMax-H3
tags:
- text-to-video
- image-text-to-video
- image-to-video
---


So far, this release is an experiment on MiniMax H3 base model that combines learned patterns from two other video diffusion models — LTX 2.3 and Wan 2.2 — into H3's transformer architecture. 

H3's transformer is organized into 50 blocks, each containing self-attention and feed-forward layers that process video, audio, and text together in a single unified stream. This work modified those attention and feed-forward layers in specific blocks, blending in the corresponding weights from LTX 2.3 and Wan 2.2. Nothing outside those layers was touched — H3's input processing, output projections, timestep modulation, and all the machinery that decides how to route different modalities remained fully intact and original.

The LTX pass was applied first to H3's front blocks, followed by a Wan pass targeting H3's middle-to-back blocks. Each pass modified attention weights directly; the second pass also modified the feed-forward layers in a broader block range. It successfully shows that two completey different architecture video model donors contribute different character into H3 that is recognizable. MiniMax's own architecture documentation notes that H3's attention and feed-forward layers do not contain modality-specific structure — the parts of the model that handle "this is audio vs video vs text" live elsewhere in the model. That means the attention and feed-forward weights are the architecturally-appropriate location to transfer character from other trained models without disrupting how H3 handles each modality.

The modifications use orthogonal projection math — new weight patterns are added into H3 primarily in directions the base model wasn't already using. This lets the transferred character supplement H3 rather than override it. Combined with careful control over which blocks are affected, this preserves H3's core capability to produce coherent video with audio while shifting its aesthetic and motion character toward the donor models without modifying the model's actual blocks weight, safety features, or guardrails. The standard H3 community license applies, and also includes the LTX one as well since technically this is now an LTX model to a certain extent.