CivArchive
    MiniMax H3 Remix - int8_convrot v0.6 (fixed)
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    🎁 Fan Registration Bonus  

    Register to receive 1000 RH coins:  

    🔗 https://www.runninghub.ai/?inviteCode=rh-v1325

    ⚙️ Workflow  

    Ultimate Simplified MiniMax H3 Full-Feature Auto Prompt Workflow (Lenient moderation, NSFW content allowed)  

    🔗 Experience link: https://www.runninghub.ai/post/2088114005419282433/?inviteCode=rh-v1325

    🔗 Civitai free download link: https://civarchive.com/models/2882357/

    📦 Models  

    🔗 https://civarchive.com/models/2879272/minimax-h3-remix

    ⚡ Turbo LoRA  

    🔗 https://civarchive.com/api/download/models/3257181?fileId=3140963

    🎬 Clip (uncensored) 

    🔗 https://civarchive.com/api/download/models/3254025?fileId=3137729

    🛠️ Required Nodes  

    - Easy-H3: https://github.com/FX-FeiHou/ComfyUI-FeiHou-Easy-H3  

    - FeiHou-Toolbox: https://github.com/FX-FeiHou/ComfyUI-FeiHou-Toolbox

    🌟 MiniMax-H3 Remix

    Dual‑H3 Hierarchical‑Recombination Merge Dual‑H3 Hierarchical‑Recombination Merge is a merged checkpoint built with a custom hierarchical recombination technical pipeline based on two H3 base models. It adopts targeted layer‑rearrangement instead of naive weight averaging, preserving the solid stability of the base model while importing artistic bias, dynamic expression and fine‑grained detail features from the overlay model. LoRA weights are statically fused internally, requiring no external LoRA file during inference.

    Two precision variants are released for different hardware conditions: full‑precision BF16 for quality‑oriented workflows, and ComfyUI‑native INT8 ConvRot for low‑VRAM deployment scenarios.

    Recommended to use alongside the FeiHou Easy H3 custom nodes and workflow: https://github.com/FX‑FeiHou/ComfyUI‑FeiHou‑Easy‑H3

    ⚠️ Please follow local laws and exercise responsible usage when generating content.

    📦 Model Variants

    🔹 BF16 Variant (Full Precision)

    Optimized for complete numerical precision and maximum detail retention. Best for high‑quality local generation, rendering and art creation.

    • Installation: Place the safetensors file under your ComfyUI\models\diffusion_models folder

    • Usage: Load via FeiHou Easy H3 workflow

    • Recommend VRAM: ≥24 GB

    🔹 INT8 ConvRot Variant (ComfyUI‑Native)

    8‑bit quantized release with native ConvRot implementation for ComfyUI. Prioritizes VRAM reduction and practical deployment convenience.

    • Installation: Place the safetensors file under your ComfyUI\models\diffusion_models folder

    • Usage: Load via FeiHou Easy H3 workflow; no extra quantization plugin required

    • Recommend VRAM: ≥14 GB

    ⚠️ Except for numerical precision and memory footprint, both variants share identical layer structure, merge logic and inherent model characteristics. ⚠️ LoRA effects are statically baked into both checkpoints; external LoRA files are not needed.

    🎉 Merge Technical Notes

    This checkpoint is produced through dual‑H3 hierarchical recombination workflow:

    • One H3 model acts as the stable base foundation

    • The second H3 model performs weight overlay within designated response blocks

    • LoRA effects are statically fused directly into checkpoint weights

    • Targeted re‑orchestration is applied to key modulation layers including AdaLN, instead of simple weight averaging

    • Retains base‑model stability while inheriting overlay‑model visual tendency, dynamic performance and fine details

    ✨ Core Capabilities

    • Stable Base Generation Reliable baseline output inherited from the primary H3 base model, avoiding common merge‑induced artifacts and model collapse.

    • Enhanced Visual & Dynamic Features Absorbs painting tendency, dynamic expressiveness and subtle detail features brought by the overlay H3 model via block‑level targeted recombination.

    • Zero Extra LoRA Dependency All LoRA contributions are statically fused into checkpoint weights. No additional LoRA needs to be loaded during inference.

    • Flexible Hardware Adaptation Choose BF16 for supreme quality or INT8 ConvRot to run on mid‑range GPUs with limited video memory.

    • Optimized for FeiHou Easy H3 Designed for the FeiHou Easy H3 node suite and workflow for best generation performance.

    • Sampler: res_multistep

    • Scheduler: simple

    • Steps: 8‑12

    • Turbo LoRA weight: 0.75

    This combination balances generation stability, fine‑detail preservation and visual consistency, suitable for most creative workflows.

    🎯 Use Cases

    • General‑purpose text‑to‑image generation

    • Dynamic‑oriented artwork and illustration creation

    • Complex‑detail‑heavy scene rendering

    • ComfyUI local deployment on high‑end or mid‑range consumer GPUs

    • Workflows expecting both stable baseline and enhanced stylistic features

    • Iterative creation, concept art, character illustration

    📌 Known Tips

    1. Do not load additional matching LoRA together with this checkpoint, since LoRA effects are already statically fused. Applying extra LoRA may cause over‑saturation or distorted outputs.

    2. INT8 ConvRot variant has minor precision loss compared to BF16. If you observe obvious detail degradation on key creative projects, switch over to the BF16 version.

    3. This is a Checkpoint Merge, not a native trained H3 checkpoint. Some edge‑case rare concepts may behave differently from original base H3 models.

    Description

    Update Notice for MiniMax‑H3‑Remix (Version ID: 3254025) The int8 quantized version bug has been fixed. If you have downloaded the int8 file before, please delete your old file and re‑download from this page. Do not keep using the old broken file.

    FAQ

    Comments (63)

    vAnN47Aug 22, 2026· 3 reactions
    CivitAI

    github link broken for me, found the working one:

    https://github.com/FX-FeiHou/ComfyUI-FeiHou-Easy-H3

    thanks op will test out!

    question: does it really matter uncensored text encoder?

    DvaltierAug 22, 2026
    CivitAI

    I download this model and text encode, using the FeiHou nodes but what version of turbo lora i need use? all my videos become like a pink filter and terrible image

    PlaguekindAug 22, 2026

    yeah mine is completely distorted.

    BigSad11Aug 22, 2026

    same

    VirtualAug 22, 2026

    @BigSad11 same

    AJchaoAug 23, 2026

    same

    Alexa_GreyAug 24, 2026

    +1

    bengbengAug 22, 2026
    CivitAI

    bf16版本还未上传麽

    FX_FeiHou
    Author
    Aug 22, 2026

    正在传,60G传得很慢。。。

    alien55888Aug 22, 2026
    CivitAI

    有bf16或int8的嗎

    FX_FeiHou
    Author
    Aug 22, 2026· 2 reactions

    现在已经上传了int8,bf16还在传

    alien55888Aug 22, 2026

    太棒了,非常感謝

    wang1818Aug 22, 2026
    CivitAI

    remix原来是b站的肥猴大佬的作品啊,果然是大神

    enterkmfdm2016848Aug 22, 2026
    CivitAI

    que lora de 4 pasos podria utilizar en este modelo?

    LovelaceAAug 23, 2026
    CivitAI

    感谢!会有pruned_int8_convrot的版本么?

    FX_FeiHou
    Author
    Aug 23, 2026

    pruned版效果很差,不建议使用

    lishtai14118Aug 23, 2026

    @FX_FeiHou 显存内存低的人不在少数,效果也要先能跑起来再说。请大佬也考虑下我们这些低配人群吧。而且剪枝版也没差到不能用的地步。

    DecoyflareAug 23, 2026
    CivitAI

    很棒!使用上很直覺的節點,模型的遵循度也不錯!

    3u6u9u815Aug 23, 2026
    CivitAI

    Nice

    BIG_AAug 23, 2026· 2 reactions
    CivitAI

    那个2B的提示词能分享一下吗?

    marcdenouldt916Aug 23, 2026· 2 reactions
    CivitAI

    great job ! like everytime ! checkpoint have sex action ? (anal, double bj, deepthroat...) ?

    banemail262Aug 23, 2026
    CivitAI

    从wan时代就开始用了, 可怜的12G显卡, 有 w4a8 或者 nvfp4 就好了, gguf 也可以, 但是好像慢些

    kronos1959777Aug 23, 2026
    CivitAI

    which shift scale do you recommend with your turbo lora? 6 or 12?

    EDIT: actually shift scale 6 works well. steps 12 is nice

    AIchemi3TAug 23, 2026· 2 reactions
    CivitAI

    Suitable for both ref2va and fl2va?

    ByteCrafterAug 24, 2026· 6 reactions
    CivitAI

    You need to put this model on a mirror like HF because this sites server to download from is slower than dialup these days.

    zhazhahui666Aug 24, 2026· 3 reactions
    CivitAI

    太大了跑不动。肥猴大佬做一个剪肢版吧

    zhazhahui666Aug 26, 2026

    我错了,30G的也能跑动

    Artiom_NarehateAug 24, 2026
    CivitAI

    I have a problem, it always sends this error:

    sageattention is not new enough version or could not determine CUDA architecture, cannot apply MiniMax H3 Memory Efficient Sage Attention Patch.

    but I have no idea why

    DaShu999Aug 24, 2026
    CivitAI

    30G,有点大,看来16G 显卡跑不动

    xiaoyang_0842Aug 27, 2026

    你有64G内存就可以

    LETSBAKEHAMAug 28, 2026

    确实跑不动,16g显存+32g内存没法搞

    yaode360276Aug 29, 2026

    能否做一个gguf q6的版本呀

    highlandertheonde397Aug 25, 2026
    CivitAI

    Great! No need of Lora for NSFW. But, if I want to use, I can't.

    ApexArtist1Aug 25, 2026
    CivitAI

    Usage: Load via FeiHou Easy H3 workflow ?? does not work with normal workflow ? just replacing the model in comfyui template workflow ?

    AIchemi3TAug 26, 2026
    CivitAI

    模型的保真度和皮肤材质很强,作为图生视频角色一致性保持也相当不错,但作为武打动作类模型是真的不行,高动态动作几乎都会崩坏。模型似乎无法识别对打的情况,角色非常倾向躺在地上。

    Light_SaberAug 26, 2026
    CivitAI

    How does this model even run? It’s 61 GB! Much larger than consumer GPU. I have a 4090 but this is way bigger to run than 24 GB.

    KambaiAug 29, 2026

    Many people seem to think they can't run it because it's too big. H3 has a special architecture, it doesn't all get loaded into your VRAM. It mostly gets loaded into your RAM and then your VRAM only takes chunks of it. I am using bf16 H3 models and encoders on my 12 gb vram laptop 4080 and it works great (my mind was blown when i decided to try it for the hell of it). You need like 96-128gb ram to make it work using bf16 base model plus bf16 encoder. Otherwise you can try to use int8 convrot encoder with bf16 model. Rtx 40 series has hardware bf16 acceleration so it runs surprisingly faster than things like fp8 or q4 quants at least in my case. All this assuming you set up everything properly.

    JoeyDiazAug 27, 2026
    CivitAI

    Did you rent a data center to train this model? I generated a couple videos with my dgx spark (took days for each) and I can safely say even in sfw videos it is much better than the base model

    rem154Aug 28, 2026
    CivitAI

    Just as a feedback ... there are enough people who can or know how to run this. This seem to need an update though - i hope you got something in the pipes ;-)

    yaode360276Aug 29, 2026
    CivitAI

    gguf q6 ..please

    KambaiAug 29, 2026
    CivitAI

    Many people seem to think they can't run it because it's too big, even the uploader of this model thinks you need more than or equal to 24gb for the FB16 model. H3 has a special architecture, it doesn't all get loaded into your VRAM. It mostly gets loaded into your RAM and then your VRAM only takes chunks of it, the parts that it needs. I am using bf16 H3 models and encoders on my 12 gb vram laptop 4080 and it works great (my mind was blown when i decided to try it for the hell of it). You need like 96-128gb ram to make it work using bf16 base model plus bf16 encoder. Otherwise you can try to use int8 convrot encoder with bf16 model. Rtx 40 series has hardware bf16 acceleration so it runs surprisingly faster than things like fp8 or q4 quants at least in my case. All this assuming you set up everything properly. If you want a workflow that works for this, search for multishot seamless on civitai or something.

    Eliz99Aug 29, 2026

    Hi! Does your laptop have more than 96GB of RAM? I have a 4090, but only 32GB of RAM, I had to make sure to buy more before the price hike 😅

    KambaiAug 29, 2026

    @Eliz99 Yup I have 96 GB RAM which is just enough to run the BF16 H3 base model plus BF16 text encoder. My ram is at times almost completely full, in the 90-95 gb. But it works well. How much you need depends on your situation. 96 gb should be enough but if i had to buy new now, I'd probably go with 128 gb (if i used a desktop tower, id go with 256 gb at pre-price hike prices). With 32 gb RAM I doubt it'll work as well as with me. I got my RAM just before the insane price hike.

    putratroopsAug 29, 2026
    CivitAI

    Hi is there a workflow instead create 30 sec long vid but also in 1 run make 3 video but seamless in 1 prompt?it Will help with low vram People like me

    jiasai001432Aug 30, 2026

    顯存不足,又要一次性生成長片,屬於左右腦互搏了,我可以跟你說,不可能

    juxfluxAug 31, 2026

    There are just now, released youtube videos, on how to seamlessly create up to 1 hour videos with minimax h3.

    putratroopsAug 31, 2026

    @jiasai001432 兄弟,你理解错了 😄 我不是想一次性生成一部长片。

    我的意思是一段一段生成,但是每一段都能无缝衔接起来。这个问题其实已经有解决方案了,我现在已经找到方法了。

    不过还是谢谢你的解释!我明白你说的情况,如果是一次性生成长片,那确实不现实。只是我想解决的是分段生成 + 保持连续性这个问题。

    putratroopsAug 31, 2026

    @juxflux Bro, thanks for the info! There’s definitely a lot of interesting content to learn from today, especially about the MiniMax workflow. 👍

    norwakAug 29, 2026· 1 reaction
    CivitAI

    Is turbo lora required?

    norwakAug 30, 2026· 1 reaction

    I will answer myself: yes it is. Without it video becomes a mess. Also don't add any other loras or it results in a mess too. I like how clean model generates faces and body, but it needs to be compable with loras otherwise it's very limited.

    Dayer69Aug 30, 2026
    CivitAI

    Can you make a LOW ram version?

    CN_PanCakeAug 31, 2026
    CivitAI

    5080居然可以跑bf16的,占用的是内存,我96G内存跑通了ref10秒720P的。

    luoshiyi700328Sep 10, 2026

    我也是5080+96G内存,刚看到模型60多G大准备放弃,看到你这我又打算试试了。

    zzanggoodddSep 1, 2026
    CivitAI

    good....

    nvidia_so_expensiveSep 3, 2026
    CivitAI

    👍Fantastic work.

    high-quality output with lora-free workflow, no need to pick or tweak loras anymore.

    MatrixCore_AISep 4, 2026
    CivitAI

    Magnificent work, my friend. Of the available options, I consider only two worthy of applause, and your model is in the top three.

    Thank you for sharing these bf16 and int8 models; your contribution to the community is invaluable

    👍💖👍

    TekeshiXSep 4, 2026

    And what is the other one from top 2? Eros max or the one from dasiwa?

    MatrixCore_AISep 6, 2026

    @TekeshiX Exactly,

    1 - MiniMax H3 Remix (yours, because it yields the best results with cosplay and fantasy concepts, in bf16).

    2 - Dasiwa (best style for 3D, 2.5D, 2D, anime, etc. / Older INT8 31GB version; currently available versions are inferior int8-19GB ones).

    3 - Eros (realism and fantasy semi-realism, also in bf16).

    Basically, each one holds the top spot where its particular strength shines; they are all fantastic, each with its own unique vision and approach.

    Once again, thank you for your fantastic content. Keep it up, your model is perfect and offers something that others can't.💖😇💖

    sjhma978276Sep 5, 2026
    CivitAI

    For some reason, the model name doesn't specify whether it's the reference model or the FLF version—it's completely unclear, or is it a two-in-one?

    shiyuhappy1981Sep 8, 2026
    CivitAI

    未删减版视频链接是错的,里面不是视频呀

    bugjuicetmc273Sep 16, 2026
    CivitAI

    I don't mean to be a doom sayer. But this was an absolute nightmare to get running. Code loader changes, all kinds of changes to file names, nothing matched. The recommended downloads needed file name changes and extra files to download. I have a 4090 gpu and it's still taking 5-10. minutes to load a 3 second i2v generation, 30 min for a 5 secs. And still throwing errors. Even then, the prompt adherence was not even close. Maybe it's just me? But this was NOT an easy set up at all. Beyond frustrating. That being said. I appreciate and commend you for all the work that goes into making something like this. but... if you're going to put this out there for people to use, for the love of all things holy, please be more descriptive on what is needed, and the extras to make it work.

    dronesfootageSep 16, 2026
    CivitAI

    Very complicated to get working correctly - but when it does it is an incredible model.

    Checkpoint
    MiniMax H3

    Details

    Downloads
    4,610
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/22/2026
    Updated
    10/7/2026
    Deleted
    -

    Files

    minimaxH3Remix_int8ConvrotV06Fixed_txt.safetensors

    minimaxH3Remix_int8ConvrotV06.safetensors

    minimaxH3Remix_int8ConvrotV06Fixed.safetensors