Downloads · 30 days
0
DmitryDB/MiniMax-H3-ComfyUI-Quants
MiniMax-H3-ComfyUI-Quants is a image-text-to-video model from DmitryDB. Use it for the image-text-to-video task on the model card, and read the license before you ship it in a product. It is set up for comfyui. The card lists the license as other.
Community FL2VA and Ref2VA diffusion-transformer checkpoints for MiniMaxAI/MiniMax-H3. All files in this repository retain all 50 transformer blocks and use the stock ComfyUI fused-QKV and time-table layout. No custom…
Downloads · 30 days
0
Access
Public
Updated Aug 5, 2026
Repo size
333 GB
Likes
37
Trending 3
Click a slice to open those files.
.safetensors194 GB · 100%
From the Hugging Face model README
Community FL2VA and Ref2VA diffusion-transformer checkpoints for
MiniMaxAI/MiniMax-H3.
All files in this repository retain all 50 transformer blocks and use the
stock ComfyUI fused-QKV and time-table layout. No custom node or ComfyUI core
patch is required.
These are community conversions, not official MiniMax or ComfyOrg releases.
FL2VA is text/first-frame/last-frame-to-audio-video generation.Ref2VA is reference-image/video/audio-to-audio-video generation.DT-sQKV marker and live in the separate
MiniMax-H3-DynTime-sQKV
repository.Download one FL2VA or Ref2VA checkpoint from the same profile row.
| Profile | Direct downloads | File size | GPU class and quant layout |
|---|---|---|---|
| INT8 ConvRot HQ | FL2VA · Ref2VA | 21.908 GiB | 32 GB+ · RTX 30/40. 145 INT8 ConvRot + 63 BF16 semantic matrices. Largest BF16 island. A 24 GB RTX 4090 loader test offloaded about 0.955 GiB. |
| INT8 ConvRot | FL2VA · Ref2VA | 20.940 GiB | 24 GB · RTX 30/40. 170 INT8 ConvRot + 38 BF16 semantic matrices. Fully resident in the RTX 4090 loader test. |
| INT8 ConvRot Lite | FL2VA · Ref2VA | 20.330 GiB | 24 GB · RTX 30/40. 185 INT8 ConvRot + 23 BF16 semantic matrices. Leaves more memory for the rest of the workflow. |
| NVFP4 HQ | FL2VA · Ref2VA | 13.597 GiB | 16–24 GB · RTX 50/Blackwell. 170 NVFP4 + 30 BF16 main matrices; the eight token-refiner matrices remain BF16. |
| NVFP4 | FL2VA · Ref2VA | 10.862 GiB | 8–12 GB · RTX 50/Blackwell. All 208 main and token-refiner matrices use block-scaled NVFP4. |
Checkpoint size is not full-workflow peak VRAM. Resolution, frame count, attention backend, text encoder, VAEs, and ComfyUI offload settings also affect memory use. RTX 50 classifications are architecture-based; no full generation run was performed on an RTX 5090. NVFP4 here is block-scaled NVFP4, not AWQ.
FL2VA and Ref2VA were tested independently through stock ComfyUI. Each test also executed a real quantized INT8 projection.
| Checkpoint | Loaded weights | Peak reserved | Free after load | Result |
|---|---|---|---|---|
MiniMax-H3_*VA-INT8-ConvRot-Lite.safetensors | 100% | 20.424 GiB | 2.072 GiB | PASS |
MiniMax-H3_*VA-INT8-ConvRot.safetensors | 100% | 21.025 GiB | 1.471 GiB | PASS |
MiniMax-H3_*VA-INT8-ConvRot-HQ.safetensors | 95.6% | 21.002 GiB | 1.494 GiB | PASS; about 0.955 GiB offloaded |
These are loader/kernel measurements, not complete prompt-to-decoded-video VRAM peaks.
All 10 diffusion checkpoints:
qkv_proj = cat(Q,K,V) layout expected by stock ComfyUI;14b05228.INT8 weights use ConvRot/Hadamard rotation with group size 256, per-row FP32 scales, and deterministic scale search.
| INT8 profile | BF16 attention-output blocks | BF16 MLP fc2 blocks | Token refiner |
|---|---|---|---|
INT8-ConvRot-Lite | 0, 1, 2, 3, 4, 5, 6, 7, 9, 15, 19, 38, 45, 49 | 49 | Eight BF16 matrices |
INT8-ConvRot | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20, 27, 38, 43, 44, 45, 46, 47, 49 | 39, 45, 49 | Eight BF16 matrices |
INT8-ConvRot-HQ | all blocks 0–49 | 29, 39, 44, 45, 49 | Eight BF16 matrices |
| Feature | This repository | DT-sQKV repository |
|---|---|---|
| Attention storage | Fused qkv_proj | Separate q_proj, k_proj, v_proj |
| Attention execution | One fused call | Three projection calls |
Original FP32 time_embedder | Replaced by measured time table | Retained and evaluated at runtime |
adaln_t_table | FP32 [4097,16] | Absent |
| Per-block AdaLN | 51 independent FP32 rank-16 projections | 51 independent FP32 rank-16 projections |
| ComfyUI | Stock | Core patch required |
The time table does not remove timestep conditioning. It interpolates a compact
representation of the original measured time curve. Maximum measured table
interpolation error is below 0.001%; sampled end-to-end AdaLN relative error
is approximately 3e-7 to 4e-7 across 19 timesteps.
Every released checkpoint passed:
MiniMaxH3Model in clean ComfyUI commit 14b05228;Reports under reports/ retain their historical internal profile names so the
published validation provenance remains intact. BF16 samples were checked
bit-for-bit. A representative INT8 QKV sample has relative L2 error
0.008814. A prompt-to-decoded-video perceptual A/B score has not been
measured.
Place one selected FL2VA or Ref2VA checkpoint in:
ComfyUI/models/diffusion_models/
A complete workflow also needs the separately maintained Qwen3-VL MiniMax-H3 text encoder and these shared VAEs:
| File | Role |
|---|---|
vae/MiniMax-H3_VideoVAE-FP16.safetensors | Video latent encoder and decoder |
vae/MiniMax-H3_AudioVAE-FP32.safetensors | Audio latent encoder and decoder |
No text encoder is included in this repository.
Use is subject to the included MiniMax-H3 community license. The base model is by MiniMax. This community conversion is not endorsed by MiniMax or ComfyOrg.