Abiray/FastH3-Omni-GGUF
text-to-video model by Abiray
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.
High-precision GGUF quantizations of FastVideo/FastH3-Omni-Comfy (fasth3omniref8stepprunedbf16.safetensors), the 8-step consistency-distilled Omni-Reference (Ref2VA) model built on MiniMax-H3 by FastVideo (Hao AI Lab) in collaboration with Nuva Lab and Reactor. Unlike standard naive quantizations that crush timestep modulation tables and output heads into low-bit blocks, this GGUF suite uses hybrid precision shielding to keep critical audio/video decoding heads, 32-head PDD (Progressive Distillation) offsets, and AdaLN interpolation tables in lossless FP32, while compressing the 50-block DiT + Video Sparse Attention (VSA) backbone for consumer RTX GPUs. All files are converted from the 44.24 GB Pruned BF16 checkpoint (FastVideo/FastH3-Omni-Comfy) compatibility with city96/ComfyUI-GGUF. 8-step consistency-distilled omni-reference models are highly sensitive to quantization…
Read the full model card ↗ · Preview checked 2026-10-28T06:49:52.770Z
Inside the original model card — Document outline
- 🎬 FastH3-Omni-8Step-Pruned — GGUF (ComfyUI Ready)
- ✨ What Can FastH3-Omni Do in 8 Steps?
- 📦 Quantized Model Lineup & VRAM Guide
- 🛡️ Hybrid Precision Shielding Architecture
- 🛠️ How to Use in ComfyUI
- 1. Required Custom Nodes & Companion Files
- 2. Expected ComfyUI Folder Structure
- 3. Recommended 8-Step Sampler Settings (FastH3-Omni Contract)
- 4. Prompting Tip for Image & Audio References
- 📜 License & Credits
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
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
Abiray/FastH3-Omni-GGUF is a text-to-video model repository published by Abiray on Hugging Face. The source reports the comfyui 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
- comfyui
- Recent downloads (30 days)
- 11,414
- Cumulative likes
- 8
- Hugging Face trending score
- 3
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T21:12:01.000Z
- Last modified
- 2026-10-20T21:35:28.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: FastVideo/FastH3-Omni-Comfy, 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