pdmd2026/pdmd_4NFE_lora
text-to-video model by pdmd2026
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Model card & documentation
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Paper (arXiv) · Project page This repository holds the LoRA adapter of a 4-step (4 NFE) student distilled from MiniMax-H3 with Projected Distribution Matching Distillation (PDMD). The same model is also available as full transformer weights in pdmd2026/pdmd4NFEfull. The adapter is applied to the transformer (MiniMaxH3Transformer3DModel) of the base model. Every other component (VAE, audio VAE, schedulers, text encoder, processor) is unchanged and comes…
Read the full model card ↗ · Preview checked 2026-10-28T18:15:58.505Z
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Model overview
pdmd2026/pdmd_4NFE_lora is a text-to-video model repository published by pdmd2026 on Hugging Face. The source reports the diffusers 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
- diffusers
- Recent downloads (30 days)
- 10,036
- Cumulative likes
- 26
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T08:01:05.000Z
- Last modified
- 2026-10-04T05:24:42.000Z
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.
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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.
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