videorebirth/hyperflow
image-text-to-video model by videorebirth
From the publisher
Model card & documentation
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HyperFlow is Video Rebirth's 8-step LoRA for MiniMax-H3, obtained by data-free flow self-distillation and running on the official diffusers Modular Pipeline. Diffusers' default 50-point sigma schedule performs 49 model forwards; HyperFlow performs 8. The base weights, VAEs, conditioner and workflows (t2va, fl2va, ref2va, all video + audio) stay the official ones. This repository holds the LoRA only; the loader and examples live at github.com/Video-Rebirth/hyperflow. Showcase. See HyperFlow generated video examples and comparisons. Not a generic LoRA. The file carries keys for a second time embedder that only exists once the HyperFlow loader has installed it, and the step count comes from the file. Load it with loadhyperflowlora from the hyperflow-h3 package, not with diffusers' loadloraweights / loadloraadapter. A published file name is never reused: pin one with filename= (or --weights-filename) and it stays what it is. A bare repo id follows the manifest's default, so it picks up new versions…
Read the full model card ↗ · Preview checked 2026-09-20T09:13:42.642Z
Inside the original model card — Document outline
- HyperFlow for MiniMax-H3
- Files
- Usage
- Performance
- Quality
- How it works
- Intended use and limitations
- License
- Acknowledgements
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Model overview
videorebirth/hyperflow is a image-text-to-video model repository published by videorebirth 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
- image-text-to-video
- Library
- minimax-h3
- Recent downloads (30 days)
- 2,406
- Cumulative likes
- 67
- Hugging Face trending score
- 64
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-17T06:58:53.000Z
- Last modified
- 2026-09-19T05:56:09.000Z
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.