MiniMax H3-Image pDMD LoRA Goes Two-Step
Akhaliq’s Apache-2.0 pDMD LoRA adapts MiniMax-H3-Image’s 33.1B transformer from six denoising steps to two, with merged and standalone ComfyUI weights. Reported 4096×4096 generation time drops from 25.1 to 17.4 seconds on an H200.
This is a meaningful local-inference improvement, though “real-time” oversells it: the measured gain is roughly 1.4× on an H200, not 3×.
- –pDMD enables a genuine two-step operating point instead of simply truncating the stock schedule.
- –The merged 40GB checkpoint and standalone LoRA make ComfyUI deployment straightforward.
- –Apple Silicon users get an MPS loading path, but the 33B model still demands substantial unified memory.
- –A detail-refinement pass can improve results, but it reduces the latency advantage.
- –The LoRA is Apache-2.0, while generated output remains subject to MiniMax H3’s community-license terms. [ArtRealmAI](https://artrealmai.com/article/minimax-h3-image-2-step-pdmd-lora-comfyui)
DISCOVERED
28m ago
2026-11-12
PUBLISHED
59m ago
2026-11-12
RELEVANCE
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0x0SojalSec