Instructions to use xxnuo/MiniMax-H3-Sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xxnuo/MiniMax-H3-Sol with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xxnuo/MiniMax-H3-Sol", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from xxnuo/MiniMax-H3-Sol: direct link, hf CLI and curl.
- Browser
- Download file 928 Bytes
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https://huggingface.co/xxnuo/MiniMax-H3-Sol/resolve/main/README.md
- Command line
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hf download hf://xxnuo/MiniMax-H3-Sol/README.md
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curl -L -o README.md https://huggingface.co/xxnuo/MiniMax-H3-Sol/resolve/main/README.md
928 Bytes
| license: other | |
| tags: | |
| - minimax-h3 | |
| - video-generation | |
| - model-mirror | |
| # MiniMax H3 Sol checkpoints | |
| Complete pinned checkpoint bundle used by lzc-aipod-minimax-h3-sol: 72 runtime files, 219842086226 bytes. Includes text-to-video, first/last-frame and reference-video components. | |
| Original weights, tokenizer files and configuration files are unchanged. Each component retains its original license; this bundle does not relicense them. Upstream model cards and license notices are preserved under `upstream/`. See `upstream-model-manifest.json` for original repositories, revisions, file sizes and SHA-256 checksums. | |
| License texts: [MiniMax H3](upstream/MiniMaxAI/MiniMax-H3/LICENSE), [LTX-2.x](upstream/Lightricks/LTX-2.5/LICENSE-2_x). The applicable use restrictions in these licenses apply to recipients of this bundle. See [NOTICE](NOTICE). | |
| Paths follow the runtime checkpoint layout, rooted at the repository root. | |