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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...
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🌟 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:
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1 trechoSource context: 453 downloads · Type Checkpoint · Base model MiniMax H3
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📦 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.
⚙️ Recommended Settings
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
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.
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 edge‐case rare concepts may behave differently from original base H3 models.
