MiniMax H3 Remix

⚠️ 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.

⚙️ 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.