Instructions to use DeepBeepMeep/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/MiniMax-H3 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Add latest H3 LightX2V Turbo LoRAs with explicit alpha tensors
Browse filesAdd FL2V 4-step v1.3, FL2V 8-step v1.1, Ref2V 4-step v1.0 and Ref2V 8-step v1.1. Preserve original BF16 weights and add per-module alpha=8 tensors from the upstream metadata.
- loras/minimax_h3_lightx2v_fl2v_turbo_4step_alpha8_v1.3_768p_bf16.safetensors +3 -0
- loras/minimax_h3_lightx2v_fl2v_turbo_8step_alpha8_v1.1_768p_bf16.safetensors +3 -0
- loras/minimax_h3_lightx2v_ref2v_turbo_4step_alpha8_v1.0_768p_bf16.safetensors +3 -0
- loras/minimax_h3_lightx2v_ref2v_turbo_8step_alpha8_v1.1_768p_bf16.safetensors +3 -0
loras/minimax_h3_lightx2v_fl2v_turbo_4step_alpha8_v1.3_768p_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:25257cb9ebeae78f96101c3352a19fa487c5fa0434a4c33c88ae2c565e3b7de9
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size 1383712904
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loras/minimax_h3_lightx2v_fl2v_turbo_8step_alpha8_v1.1_768p_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e2c616eb0adf03ab8eaa0113ec0c42ca0fa7073354eef01aa305fc7afb9861b
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size 1383712904
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loras/minimax_h3_lightx2v_ref2v_turbo_4step_alpha8_v1.0_768p_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:92e8e2f987eea03955e5731df0baf1255460ccffc44ead94e05ca505f0e8579e
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size 1383712904
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loras/minimax_h3_lightx2v_ref2v_turbo_8step_alpha8_v1.1_768p_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7493e07d90cb98798d34aba2afc0dcf24dd14304d83c8a9b95c3548f6ad8d30
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size 1383712904
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