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Add latest MiniMax H3 I2V and R2V workflows

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Morpheus
2026-09-03 18:06:39 +00:00
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models/minimax/minimax-h3-javawock2609-r2v/README.md
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# MiniMax H3 R2V Javawock Pack
# MiniMax H3 INT8 R2V Javawock Pack
## Summary
Same-day `MiniMax H3` reference-to-video workflow from the `javawock7618` pack. This is the strongest new character-consistency lane in the bundle and the best fit for practical local video reference work.
Same-day `MiniMax H3` reference-to-video workflow from the updated `javawock7618` pack. This is the newer reference-retention graph to keep alongside the older `2608` import.
## Model Family
@@ -15,38 +15,40 @@ Same-day `MiniMax H3` reference-to-video workflow from the `javawock7618` pack.
## Source
- Workflow pack page: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows>
- Workflow file: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/raw/main/MiniMax_int8_R2V-javano2609.1.json>
- Workflow file: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/raw/main/MiniMax_int8_R2V-javano2609.1.1.json>
- Original publisher: `javawock7618`
- Date imported: `2026-09-02`
- Date imported: `2026-09-03`
## Developer notes
- The pack README describes this as the `Reference-to-Video` workflow.
- It is built around INT8 inference, Sol-Attn, SLA-Attention, Spectrum, Lightx2v LoRA support, optional Turbo-LoRA, native Extend support, Fun ControlNet Union V2V control, and latent upscaling.
- The workflow uses the pack's dedicated reference LoRA path for appearance retention.
- It is built around INT8 inference, Sol-Attn, Spectrum, Lightx2v LoRA support, optional Turbo-LoRA, native Extend support, and latent upscaling.
- The workflow uses the pack's dedicated reference LoRA path for appearance retention and also carries Fun ControlNet Union support for V2V control-video guidance.
## Our notes
- Best new MiniMax H3 import today if you care about reference retention more than flashy motion.
- This is the right kind of update for the current watch area because it is practical control, not just a decorative LoRA.
- Still heavy on an `RTX 3070`, but the INT8 path is the main reason it is worth trying locally.
- Still heavy on an `RTX 3070`, but the INT8 path is exactly why it is worth keeping.
- Good comparison point against the current LTX reference-control and Ingredients-style consistency workflows.
## Required custom nodes
- `ComfyUI-SolAttn_triton`
- `ComfyUI-Spectrum-MiniMax-H3`
- `ComfyUI-Switchboard`
- `ComfyUI-MiniMaxH3_LatentUpscaler`
- `ComfyUI-H3-SLA-Attention`
- `ComfyUI-H3-FaceRefine`
- `ComfyUI MiniMax-H3 Latent Upscaler`
- `ComfyUI-Switchboard`
## Required models
- `Comfy-Org/MiniMax-H3`
- `minimax_h3_ref_lora_rank_256_bf16.safetensors`
- `minimax_h3_fun_controlnet_union_pruned_bf16.safetensors` or `minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors` if V2V control is used
- `lightx2v/Minimax-h3-Turbo` if the accelerated path is enabled
- `drbaph/MiniMax-H3-Turbo-Lora-ComfyUI` if the turbo path is enabled
- `Kijai/MiniMax-H3-experimental` for the Fun ControlNet Union path
- `lightx2v/Minimax-h3-Turbo` if acceleration is enabled
- `drbaph/MiniMax-H3-Turbo-Lora-ComfyUI` if the optional turbo LoRA path is enabled
- `LBH-123-AI/Minimax_h3_latent_Upscaler` if latent upscaling is enabled
## Notes
- Best same-day MiniMax workflow for reference-guided video.
- This is the newer same-day R2V graph from the pack, not just a duplicate label.