This GGUF file is a direct conversion of Wan-AI/Wan2.2-T2V-A14B Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. Usage The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96 Place model files in ComfyUI/models/unet see the GitHub readme for further installation instructions.
Open-weight model · Text to video
MiniMax-H3-Acc-LoRAs
by Alibaba-PAI alibaba-pai/MiniMax-H3-Acc-LoRAs
We apply Parallel Decoding Distillation (PDD) 1 to MiniMax-H3, enabling efficient video generation in only a few inference steps. For more details, please refer to our GitHub repo.
Parameters—
Context—
Weights2.7 GB
Licenseother
AccessOpen weights
Monthly Downloads88.5k
Model Card
We apply Parallel Decoding Distillation (PDD) 1 to MiniMax-H3, enabling efficient video generation in only a few inference steps. For more details, please refer to our GitHub repo. Set modelpath and pddlorapath to the MiniMax-H3 model and the matching acceleration LoRA checkpoint in predictt2v.py for FL2VA or predictref2v.py for Ref2VA, then run the corresponding script. Each example uses applypddlora to load the checkpoint and derive the required number of inference steps from its configuration.
Excerpt from the card by Alibaba-PAI, licensed other.
Identity and Version
- Repository
- alibaba-pai/MiniMax-H3-Acc-LoRAs
- Publisher
- Alibaba-PAI
- Task
- Text to video
- Modality
- Video
- Library
- videox_fun
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 335001fb9e5455d68a0caa18ec2e319072150328
- First published
- 2026-08-26
- Last updated
- 2026-08-27
Files and Weights
29 files, 2.8 GB in total. The weights are 2 files totalling 2.7 GB in safetensors.
Weights2 files · 2.7 GB
Configuration3 files · 21.7 KB
Documentation1 file · 7.3 KB
Other22 files · 70.7 MB
Repository1 file · 3.2 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| MiniMax-H3-FL2VA-Acc-8Step.safetensors | Weights | 1.4 GB | 0b29be7042d8 |
| MiniMax-H3-Ref2VA-Acc-8Step.safetensors | Weights | 1.4 GB | 111c82e669f6 |
| minimax_h3_pdd.py | Configuration | 11.3 KB | — |
| predict_ref2v.py | Configuration | 7.7 KB | — |
| predict_t2v.py | Configuration | 2.7 KB | — |
| README.md | Documentation | 7.3 KB | — |
| asset/ref2va_test_5_1.jpg | Other | 71.9 KB | — |
| asset/ref2va_test_5_2.jpg | Other | 378.0 KB | afda45ed8f06 |
| asset/ref2va_test_5_3.jpg | Other | 341.2 KB | 97e0835a1bf6 |
| asset/ref2va_test_5_4.jpg | Other | 189.4 KB | 939856c9964d |
| results/minimax_h3_fl2va_acc_8step_v1_1.mp4 | Other | 851.8 KB | 6fcef5076fec |
| results/minimax_h3_fl2va_acc_8step_v1_2.mp4 | Other | 8.8 MB | e15ed74a9883 |
| results/minimax_h3_fl2va_acc_8step_v1_3.mp4 | Other | 2.0 MB | cf02dd4516a9 |
| results/minimax_h3_fl2va_baseline_1.mp4 | Other | 835.6 KB | afcbd76e7e5b |
| results/minimax_h3_fl2va_baseline_2.mp4 | Other | 7.7 MB | 6673f964eda7 |
| results/minimax_h3_fl2va_baseline_3.mp4 | Other | 1.8 MB | 7cc312bdafbf |
| results/minimax_h3_fl2va_turbo_4step_v1.1_768p_1.mp4 | Other | 893.3 KB | b92514db1f7a |
| results/minimax_h3_fl2va_turbo_4step_v1.1_768p_2.mp4 | Other | 9.8 MB | f21d92548605 |
| results/minimax_h3_fl2va_turbo_4step_v1.1_768p_3.mp4 | Other | 2.3 MB | 831a974e4f25 |
| results/minimax_h3_ref2va_acc_8step_v1_1.mp4 | Other | 6.1 MB | c38d56649aeb |
| results/minimax_h3_ref2va_acc_8step_v1_2.mp4 | Other | 2.0 MB | 49db1d2d853a |
| results/minimax_h3_ref2va_acc_8step_v1_3.mp4 | Other | 4.2 MB | 87955def3dbb |
| results/minimax_h3_ref2va_baseline_1.mp4 | Other | 5.9 MB | b06369445bba |
| results/minimax_h3_ref2va_baseline_2.mp4 | Other | 1.7 MB | 8bd6e9b1b8e9 |
| results/minimax_h3_ref2va_baseline_3.mp4 | Other | 4.9 MB | 233d92ae3bed |
| results/minimax_h3_ref2va_turbo_4step_v0.1_768p_1.mp4 | Other | 5.3 MB | fa71f4bc1392 |
| results/minimax_h3_ref2va_turbo_4step_v0.1_768p_2.mp4 | Other | 1.0 MB | 67b13c561a0d |
| results/minimax_h3_ref2va_turbo_4step_v0.1_768p_3.mp4 | Other | 3.7 MB | bfce9c6dd703 |
| .gitattributes | Repository | 3.2 KB | — |
License and Download
- License
- other
- Access
- Open weights, no gate
- Download size
- 2.7 GB
Download from Alibaba-PAI
Released by Alibaba-PAI through its official repository on Hugging Face. Read the license.
Built From
- Derived from MiniMaxAI/MiniMax-H3
- Described by arXiv:2607.26004
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.7 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About MiniMax-H3-Acc-LoRAs
What license is MiniMax-H3-Acc-LoRAs released under?
other, as its publisher declares it. Read the license text before commercial use.
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