š Fan Registration Bonus Ā
Register to receive 1000 RH coins: Ā
š https://www.runninghub.ai/?inviteCode=rh-v1325
āļø Workflow Ā
Ultimate Simplified MiniMax H3 Full-Feature Auto Prompt Workflow (Lenient moderation, NSFW content allowed) Ā
š Experience link: https://www.runninghub.ai/post/2088114005419282433/?inviteCode=rh-v1325
š Civitai free download link: https://civarchive.com/models/2882357/
š¦ Models Ā
š https://civarchive.com/models/2879272/minimax-h3-remix
ā” Turbo LoRA Ā
š https://civarchive.com/api/download/models/3257181?fileId=3140963
š¬ Clip (uncensoredļ¼Ā
š https://civarchive.com/api/download/models/3254025?fileId=3137729
š ļø Required Nodes Ā
- Easy-H3: https://github.com/FX-FeiHou/ComfyUI-FeiHou-Easy-H3 Ā
- FeiHou-Toolbox: https://github.com/FX-FeiHou/ComfyUI-FeiHou-Toolbox

š MiniMax-H3 Remix
DualāH3 HierarchicalāRecombination Merge DualāH3 HierarchicalāRecombination Merge is a merged checkpoint built with a custom hierarchical recombination technical pipeline based on two H3 base models. It adopts targeted layerārearrangement instead of naive weight averaging, preserving the solid stability of the base model while importing artistic bias, dynamic expression and fineāgrained 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: fullāprecision BF16 for qualityāoriented workflows, and ComfyUIānative INT8 ConvRot for lowāVRAM deployment scenarios.
Recommended to use alongside the FeiHou Easy H3 custom nodes and workflow: https://github.com/FXāFeiHou/ComfyUIāFeiHouāEasyāH3
ā ļø Please follow local laws and exercise responsible usage when generating content.
š¦ Model Variants
š¹ BF16 Variant (Full Precision)
Optimized for complete numerical precision and maximum detail retention. Best for highāquality local generation, rendering and art creation.
Installation: Place the safetensors file under your
ComfyUI\models\diffusion_modelsfolderUsage: Load via FeiHou Easy H3 workflow
Recommend VRAM: ā„24 GB
š¹ INT8 ConvRot Variant (ComfyUIāNative)
8ābit 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_modelsfolderUsage: Load via FeiHou Easy H3 workflow; no extra quantization plugin required
Recommend VRAM: ā„14 GB
ā ļø Except for numerical precision and memory footprint, both variants share identical layer structure, merge logic and inherent model characteristics. ā ļø LoRA effects are statically baked into both checkpoints; external LoRA files are not needed.
š Merge Technical Notes
This checkpoint is produced through dualāH3 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 reāorchestration is applied to key modulation layers including AdaLN, instead of simple weight averaging
Retains baseāmodel stability while inheriting overlayāmodel visual tendency, dynamic performance and fine details
⨠Core Capabilities
Stable Base Generation Reliable baseline output inherited from the primary H3 base model, avoiding common mergeāinduced artifacts and model collapse.
Enhanced Visual & Dynamic Features Absorbs painting tendency, dynamic expressiveness and subtle detail features brought by the overlay H3 model via blockālevel 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 midārange GPUs with limited video memory.
Optimized for FeiHou Easy H3 Designed for the FeiHou Easy H3 node suite and workflow for best generation performance.
āļø Recommended Settings
Sampler:
res_multistepScheduler:
simpleSteps: 8ā12
Turbo LoRA weight:
0.75
This combination balances generation stability, fineādetail preservation and visual consistency, suitable for most creative workflows.
šÆ Use Cases
Generalāpurpose textātoāimage generation
Dynamicāoriented artwork and illustration creation
Complexādetailāheavy scene rendering
ComfyUI local deployment on highāend or midārange consumer GPUs
Workflows expecting both stable baseline and enhanced stylistic features
Iterative creation, concept art, character illustration
š Known Tips
Do not load additional matching LoRA together with this checkpoint, since LoRA effects are already statically fused. Applying extra LoRA may cause overāsaturation or distorted outputs.
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.
This is a Checkpoint Merge, not a native trained H3 checkpoint. Some edgeācase rare concepts may behave differently from original base H3 models.
