makotolabs/SHINJUTSU-H3-Control-LoRA
image-text-to-video model by makotolabs
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A 33.34 MiB (34.96 MB / 34,961,624 bytes) 10-block Truncated SVD residual archive of alibaba-pai/MiniMax-H3-Fun-Controlnet-Union-2.0 (12,325.1 MiB / 12.92 GB — 369.7x smaller / 99.73% size reduction), built for SHINJUTSU-UI in ComfyUI. In ComfyUI's comfy/ldm/minimax/controlnet.py (MiniMaxH3FunControl.initstream), the control video latent is tokenized via patchifyvideo(controllatent, patchsize=(1, 2, 2)), partitioning each frame into 2x2 latent (32x32 pixel) tiles. Measuring the relative Frobenius norm $\|\Delta W\|F / \|W{\text{control}}\|F$ where $\Delta W = W{\text{control}} - W{\text{base}}$ across all 10 injection blocks (controlblocks.0..9 vs base blocks.0, 5, 10, 15, 20, 25, 30, 35, 40, 45) shows that the control-branch weights (adalnproj.linear, attn.qkvproj, attn.outproj, mlp.fc1, mlp.fc2) stay close…
Read the full model card ↗ · Preview checked 2026-11-03T08:11:26.814Z
Inside the original model card — Document outline
- SHINJUTSU-H3-Control-LoRA (shinjutsuh3controllorav1flash.safetensors)
- File Summary & Checksum (C0)
- Technical Architecture & Mathematical Formulation (C1)
- 1. Patch-Boundary Cancellation Across All 10 Injection Blocks
- 2. Weight Redundancy With the Base MiniMax H3 DiT
- 3. Low-Rank SVD Decomposition (185 FP16 Tensors = 33.34 MiB / 34.96 MB Total)
- Verified Base Checkpoints & Measured Reconstruction Metrics (C2–C6)
- Usage in ComfyUI (SHINJUTSU-UI)
- Limitations
- License & Attribution
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
makotolabs/SHINJUTSU-H3-Control-LoRA is a image-text-to-video model repository published by makotolabs on Hugging Face. The source reports the minimax-h3 library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-video
- Library
- minimax-h3
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-03T06:41:47.000Z
- Last modified
- 2026-11-03T06:41:58.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: MiniMaxAI/MiniMax-H3, alibaba-pai/MiniMax-H3-Fun-Controlnet-Union-2.0
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-03T06:52:20.270Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
MATLOWAI/minimax-h3-fused-turbo-int8-convrot