Hugging Face trending modelspublished Sep 6, 11:22 UTC (9d ago)ingested Sep 13, 16:37 UTCAlissonerdx2

Alissonerdx/Minimax-H3-ComfyUI — new model trending #30 on Hugging Face

AI summary · glm-5.3

Alissonerdx released a rank-64 LoRA sharpening videos from MiniMax H3 in ComfyUI via guide-latent conditioning, trending #30 on Hugging Face.

Alissonerdx published Minimax-H3-ComfyUI, a repository containing a rank-64 LoRA (minimax_h3_lms_v1.0_r64) that sharpens source videos while keeping them photorealistic. It targets the MiniMax H3 ref2va base model, runs with Comfy-Org's ComfyUI-ready weights, and uses the native MiniMaxH3AddGuide node for aligned guide-latent conditioning. The release ships with a ComfyUI workflow, eight before/after example videos, and an Apache 2.0 license.

Rank-64 LoRA for MiniMax H3 ref2va sharpens video via aligned guide latents
Guide shares the target's temporal origin and spatial grid for positional cost-free attention
Works with ComfyUI's native MiniMaxH3AddGuide node; no extra install needed
Trained with ostris/ai-toolkit fork; Apache 2.0 licensed

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Tagsminimax-h3 lora comfyui video-generation guide-latents huggingface video-sharpening

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# Minimax H3 LoRAs for ComfyUI

LoRAs for [MiniMax H3](https://huggingface.co/MiniMaxAI/MiniMax-H3), built to run in ComfyUI with the

[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) weights. Trained and tested mainly against the

`ref2va` base model; `fl2va` should also work as a base but is less tested.

## Repository structure

```

loras/

minimax_h3_lms_v1.0_r64.safetensors # the LMS LoRA

workflows/

minimax_h3_lms_workflow.json # ComfyUI workflow set up for the LoRA above

examples/

comparison-1.mp4 # before/after, no audio

comparison-2-audio.mp4 # before/after, with audio

comparison-3-audio.mp4 # before/after, with audio

comparison-4.mp4 # before/after, no audio

comparison-5.mp4 # before/after, no audio

comparison-6.mp4 # before/after, no audio

comparison-7.mp4 # before/after, no audio

comparison-8.mp4 # before/after, no audio

```

## `minimax_h3_lms_v1.0_r64` — "a little more sharpness"

Rank-64 LoRA for MiniMax H3 `ref2va` that sharpens a source video while keeping it photorealistic. It conditions

on the source through guide latents rather than through the model's native reference-video node.

**Trigger / caption:**

```

Enhance this video with sharp, crisp details while preserving a natural photorealistic appearance.

```

### How the guide works

This LoRA conditions on your source video as a latent guide, not as a text description of it.

The source clip is encoded by the video VAE and packed into the transformer's sequence as a conditioning block

that is aligned to the target timeline. Three properties define the arrangement:

- **Same temporal origin.** The guide's clock starts where the target's starts, so guide latent frame `i` sits at

the same position as target latent frame `i`.

- **Same spatial grid.** The guide is encoded at the target's resolution, so guide token `(t, y, x)` lands on

target token `(t, y, x)`.

- **It does not advance the reference clock.** Unlike an ordinary reference block, an aligned guide occupies the

target's own timeline rather than being appended before it.

The result is that attention between guide and target costs nothing positionally — the correspondence is handed

to the model instead of being something it has to search for. This is the same arrangement used by in-context

video LoRAs on LTX.

The guide is held near-clean during training (about 0.1% noise augmentation) while the target is noised

normally, so the model learns to map one to the other rather than to denoise both.

The text encoder never sees the guide. Only the caption reaches it; the video reaches the transformer purely as

latents. The model therefore learns a pixel-level correspondence with the source, not a paraphrase of it.

### Using it

Feed the source clip into the guide input, anchored at frame 0, at the same resolution as the output. Both the

guide and the target must land on the model's valid clip lengths — `17k + 5` frames (5, 22, 39, 56, 73, 90, 107,

124, …). A guide that is shorter than the target, or at a different resolution, breaks the alignment.

In ComfyUI this is the native `MiniMaxH3AddGuide` node with `frame_idx = 0` — it ships with ComfyUI's own MiniMax

H3 support, nothing extra to install for it. This is a different mechanism from the also-native

`MiniMaxH3ReferenceToVideo` node, which passes a reference block with its own clock instead of an aligned guide.

This LoRA was trained specifically for `ref2va`, not `fl2va`, and primarily to use guide latents alone, so treat

`MiniMaxH3ReferenceToVideo` as optional/experimental here: combining it with `Add Guide` can be worth trying, but

expect different — not necessarily better — results, since you'd be feeding two different kinds of conditioning

at once. In principle this LoRA is meant for a second pass (sharpening an already-generated clip) rather than

direct generation from scratch, though it can be used for the latter too — just expect it to behave differently.

The included workflow ([`workflows/minimax_h3_lms_workflow.json`](workflows/minimax_h3_lms_workflow.json))

additionally wires in `AIToolkitMiniMaxH3RefVideo`, a node from

[ostris/ComfyUI-AIToolkit-MiniMaxH3](https://github.com/ostris/ComfyUI-AIToolkit-MiniMaxH3) — clone that repo into

your ComfyUI `custom_nodes/` folder for the workflow to load as-is. This LoRA was trained with

[ai-toolkit](https://github.com/ostris/ai-toolkit)'s custom fork that added guide-latent support, which is where

this node comes from. As far as I can tell it just resizes the clip to the target resolution before feeding it

in, so if you'd rather not add the dependency, swap it for any other resize step feeding into `Add Guide`.

### Examples

## License

Apache 2.0. Base model credit to [MiniMaxAI](https://huggingface.co/MiniMaxAI/MiniMax-H3) and the ComfyUI-ready

weights from [Comfy-Org](https://huggingface.co/Comfy-Org/MiniMax-H3). Guide-latent training support and the

ComfyUI node credit to [ostris](https://github.com/ostris) ([ai-toolkit](https://github.com/ostris/ai-toolkit),

[ComfyUI-AIToolkit-MiniMaxH3](https://github.com/ostris/ComfyUI-AIToolkit-MiniMaxH3)).

Text extracted automatically; images, tables and formatting may be missing. Original: https://huggingface.co/Alissonerdx/Minimax-H3-ComfyUI