Commit ·
73372e6
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Parent(s): ec19cc6
Scope the download command to the original checkpoint folders (#16)
Browse files- Scope the download command to the original checkpoint folders (9b40f3e632cfde4564aa4859d499b5862a679731)
- Link the diffusers documentation (83194394ab66c4e617251b5281d727a1ba47fb0e)
- Shorten the docs link text (71d6e6db54dcbd8c66c4679c90a0df33badfad2e)
- ComfyUI uses its own weights (2bc8c473e5c4c0fcf2e2a7a37bcdce7b072a48cc)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
README.md
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@@ -192,12 +192,18 @@ Each checkpoint is distributed as a self\-contained Hugging Face\-style reposito
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└── audio_vae/
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```
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Download the model:
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```bash
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-
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```
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We recommend the following inference frameworks to serve the model:
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- [SGLang](https://docs.sglang.io/) \- see [cookbook](https://docs.sglang.io/cookbook/diffusion/MiniMax/MiniMax-H3)
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└── audio_vae/
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```
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Download the model. The repository hosts the original checkpoint (`FL2VA/`, `Ref2VA/`) and the diffusers format side by side, so scope the download to what your framework needs:
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```bash
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# Original checkpoint, both task families (SGLang, vLLM):
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hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" "Ref2VA/*" --local-dir MiniMax-H3
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# Or a single task family:
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hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" --local-dir MiniMax-H3
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```
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diffusers users do not need a manual download: `ModularPipeline.from_pretrained("MiniMaxAI/MiniMax-H3")` fetches exactly the components it needs. See the [diffusers documentation](https://github.com/huggingface/diffusers/blob/minimax-h3/docs/source/en/api/pipelines/minimax_h3.md) for loading recipes.
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We recommend the following inference frameworks to serve the model:
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- [SGLang](https://docs.sglang.io/) \- see [cookbook](https://docs.sglang.io/cookbook/diffusion/MiniMax/MiniMax-H3)
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