50 lines
1.8 KiB
Markdown
50 lines
1.8 KiB
Markdown
# MiniMax H3 INT8 R2V
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## Summary
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Same-day `MiniMax-H3` reference-to-video workflow from `javawock7618`. This is the MiniMax drop to watch if you care most about keeping a subject stable from a reference image while still getting motion and camera movement.
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## Model Family
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- `minimax`
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## Status
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- `imported-only`
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## Source
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- Workflow pack page: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows>
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- Workflow file: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/resolve/main/MiniMax_int8_R2V-javano2608.12.json?download=true>
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- Original publisher: `javawock7618`
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- Date imported: `2026-08-11`
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## Developer notes
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- The source README positions this as the reference-guided workflow in the pack.
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- It is built around INT8 inference plus the `ComfyUI-H3-Motion-Context` and `ComfyUI-Spectrum-MiniMax-H3` ecosystem.
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- The pack also recommends `ComfyUI-MiniMaxH3_LatentUpscaler` for post-upscale.
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- The R2V lane requires `minimax_h3_ref_lora_rank_256_bf16.safetensors` from `Kijai/MiniMax-H3-experimental`.
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## Our notes
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- This is the most directly useful MiniMax reference-control item from today.
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- On a 3070 it is still heavy, but it is the kind of workflow that could actually be worth testing if you want stronger subject hold than a generic video model.
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- Better fit than a novelty demo because it is explicit about the reference LoRA and the supporting nodes.
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## Required custom nodes
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- `ComfyUI-Spectrum-MiniMax-H3`
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- `ComfyUI-H3-Motion-Context`
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- `ComfyUI-MiniMaxH3_LatentUpscaler`
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## Required models
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- `Comfy-Org/MiniMax-H3`
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- `minimax_h3_ref_lora_rank_256_bf16.safetensors` from `Kijai/MiniMax-H3-experimental`
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## Notes
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- Lightx2v LoRA and Turbo-LoRA are optional, but the source pack treats them as useful accelerators.
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- This is the MiniMax workflow I would try before the more novelty-leaning releases.
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