Abiray/MiniMax-H3-Pruned-Ref-Delta-Fused-GGUF
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MiniMax-H3 Pruned Ref-Delta Fused (GGUF)
GGUF quantizations for xmarre's MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-ComfyUI.
This hybrid model fuses the crisp visual quality, motion dynamics, and clean audio of FL2VA with the persistent multi-image character conditioning of Ref2VA using a rank-1024 delta weight merge ($\Delta W_{r=1024}$) on the pruned 20.1B parameter MiniMax-H3 architecture.
With these GGUFs, you can now run reference-conditioned MiniMax-H3 locally on consumer GPUs (16 GB – 24 GB VRAM) with minimal quality loss.
File Overview
How to Use in ComfyUI
1. Install Node
Ensure you have the latest ComfyUI-GGUF custom node installed via ComfyUI Manager.
2. Place Files
Place the downloaded .gguf file into: ComfyUI/models/diffusion_models/ (or `ComfyUI/models/unet/`)
Recommended Generation Settings
With Turbo Acceleration (Fast Inference)
- LoRA:
minimax_h3_ref2v_turbo_8step_v1.0_768p_comfyui_resized_avg_rank_20_bf16.safetensors - LoRA Strength:
1.0(or0.85if fine ripple noise occurs) - Steps:
8steps - CFG:
1.0(Do not exceed 1.2 with distilled turbo LoRAs) - Sampler:
Euler - Scheduler:
BetaorSimple - Resolution:
1280x720(16:9) or1280x544(2.39:1) - Frame Count:
49or81frames ($4k + 1$ rule)
Credits & Acknowledgements
- Base Architecture: MiniMax AI
- Ref-Delta Low-Rank Merge: xmarre
- ComfyUI GGUF Integration: city96
- GGUF Conversion & Quantization: Abiray
