Imagineer13/H3-Anti-Burn-LoRA
text-to-video model by Imagineer13
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
When you make a long MiniMax H3 video by chaining clips, each new clip continues from the end of the previous one. It copies that ending's small flaws and adds a few more. After a few clips, faces "burn": skin and lines get crunchy and etched, and the picture gets harsher. This LoRA is used on the continuation clips and keeps them close to the look of the first clip. It was trained on three turbos (Larry Turbo v4, HyperFlow, lightx2v 8-step) and tested on a fourth model it never saw, where it cut face burn from +61% to +4%. faces turn soft or waxy, go down; turbos that burn less need less. try a few values on a 4-5 clip chain before you settle. Each image shows the same chain run without and with the LoRA. The prompts and seeds are the same, so clip 1 is identical; the…
Read the full model card ↗ · Preview checked 2026-10-28T07:02:51.296Z
Inside the original model card — Document outline
- H3 Anti-Burn LoRA (universal, v1)
- How to use it
- Examples
- What we measured
- Limitations
- How it was trained
- File
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Imagineer13/H3-Anti-Burn-LoRA is a text-to-video model repository published by Imagineer13 on Hugging Face. The source reports the minimax-h3 library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- minimax-h3
- Recent downloads (30 days)
- 7,293
- Cumulative likes
- 14
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-14T19:38:32.000Z
- Last modified
- 2026-10-14T19:53:51.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: MiniMaxAI/MiniMax-H3
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
QuantStack/Wan2.2-TI2V-5B-GGUF
QuantStack/Wan2.2-T2V-A14B-GGUF