Instructions to use sonnybox/MiniMax-H3_experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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license: apache-2.0
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base_model:
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base_model_relation: adapter
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pipeline_tag: text-to-video
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tags:
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---
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| `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_bf16.safetensors` | 0.5 |
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| `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors` | 1.0 |
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The 4 step LoRA was trained using shift 6 and the 8 step was trained using shift 12,
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1.0
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license: apache-2.0
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base_model:
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- MiniMaxAI/MiniMax-H3
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- lightx2v/Minimax-h3-Turbo
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base_model_relation: adapter
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pipeline_tag: image-text-to-video
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tags:
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- lora
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- t2v
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- i2v
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- comfyui
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- minimax-h3
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---
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| `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_bf16.safetensors` | 0.5 |
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| `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors` | 1.0 |
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The 4 step LoRA was trained using shift 6 and the 8 step was trained using shift 12, so
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theoretically you can't go wrong with any shift in that range. Visual quality seems
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optimal below strength 1.0 with any shift 6-12. At least on T2V, it *should* give more
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detail than v1.1 LoRA and fixes fingers quality on the 8 step 1.0 LoRA.
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