<div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/C78AQztbwEo" start="0"></iframe></div><h2 id="fan-registration-bonus">🎁 Fan Registration Bonus  </h2>Register to receive 1000 RH coins:  🔗 <a target="_blank" rel="ugc" href="https://www.runninghub.ai/?inviteCode=rh-v1325">https://www.runninghub.ai/?inviteCode=rh-v1325</a><h2 id="workflow">⚙️ Workflow  </h2>Ultimate Simplified MiniMax H3 Full-Feature Auto Prompt Workflow (Lenient moderation, NSFW content allowed)  🔗 Experience link: <a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2088114005419282433/?inviteCode=rh-v1325">https://www.runninghub.ai/post/2088114005419282433/?inviteCode=rh-v1325</a>🔗 Civitai free download link: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2882357/">https://civarchive.com/models/2882357/</a><h2 id="models">📦 Models  </h2>🔗 <a target="_blank" rel="ugc" href="https://civarchive.com/models/2879272/minimax-h3-remix">https://civarchive.com/models/2879272/minimax-h3-remix</a><h2 id="turbo-lora">⚡ Turbo LoRA  </h2>🔗 <a target="_blank" rel="ugc" href="https://civarchive.com/api/download/models/3257181?fileId=3140963">https://civarchive.com/api/download/models/3257181?fileId=3140963</a><h2 id="clip-(uncensored">🎬 Clip (uncensored） </h2>🔗 <a target="_blank" rel="ugc" href="https://civarchive.com/api/download/models/3254025?fileId=3137729">https://civarchive.com/api/download/models/3254025?fileId=3137729</a>🛠️ Required Nodes  - Easy-H3: <a target="_blank" rel="ugc" href="https://github.com/FX-FeiHou/ComfyUI-FeiHou-Easy-H3">https://github.com/FX-FeiHou/ComfyUI-FeiHou-Easy-H3</a>  - FeiHou-Toolbox: <a target="_blank" rel="ugc" href="https://github.com/FX-FeiHou/ComfyUI-FeiHou-Toolbox">https://github.com/FX-FeiHou/ComfyUI-FeiHou-Toolbox</a><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2c2c0111-648a-4b8b-82cc-7a5528120973/original=true/2c2c0111-648a-4b8b-82cc-7a5528120973.jpeg" /><h1 id="minimax-h3-remix">🌟 MiniMax-H3 Remix</h1>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.<blockquote>Recommended to use alongside the FeiHou Easy H3 custom nodes and workflow: <a target="_blank" rel="ugc" href="https://github.com/FX‑FeiHou/ComfyUI‑FeiHou‑Easy‑H3">https://github.com/FX‑FeiHou/ComfyUI‑FeiHou‑Easy‑H3</a></blockquote>⚠️ Please follow local laws and exercise responsible usage when generating content.<h2 id="model-variants">📦 Model Variants</h2><h3 id="bf16-variant-(full-precision)">🔹 BF16 Variant (Full Precision)</h3>Optimized for complete numerical precision and maximum detail retention. Best for high‑quality local generation, rendering and art creation.<ul><li>Installation: Place the safetensors file under your <code>ComfyUI\models\diffusion_models</code> folder</li><li>Usage: Load via FeiHou Easy H3 workflow</li><li>Recommend VRAM: ≥24 GB</li></ul><h3 id="int8-convrot-variant-(comfyuinative)">🔹 INT8 ConvRot Variant (ComfyUI‑Native)</h3>8‑bit quantized release with native ConvRot implementation for ComfyUI. Prioritizes VRAM reduction and practical deployment convenience.<ul><li>Installation: Place the safetensors file under your <code>ComfyUI\models\diffusion_models</code> folder</li><li>Usage: Load via FeiHou Easy H3 workflow; no extra quantization plugin required</li><li>Recommend VRAM: ≥14 GB</li></ul>⚠️ 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.<h3 id="merge-technical-notes">🎉 Merge Technical Notes</h3>This checkpoint is produced through dual‑H3 hierarchical recombination workflow:<ul><li>One H3 model acts as the stable base foundation</li><li>The second H3 model performs weight overlay within designated response blocks</li><li>LoRA effects are statically fused directly into checkpoint weights</li><li>Targeted re‑orchestration is applied to key modulation layers including AdaLN, instead of simple weight averaging</li><li>Retains base‑model stability while inheriting overlay‑model visual tendency, dynamic performance and fine details</li></ul><h2 id="core-capabilities">✨ Core Capabilities</h2><ul><li>Stable Base Generation Reliable baseline output inherited from the primary H3 base model, avoiding common merge‑induced artifacts and model collapse.</li><li>Enhanced Visual &amp; Dynamic Features Absorbs painting tendency, dynamic expressiveness and subtle detail features brought by the overlay H3 model via block‑level targeted recombination.</li><li>Zero Extra LoRA Dependency All LoRA contributions are statically fused into checkpoint weights. No additional LoRA needs to be loaded during inference.</li><li>Flexible Hardware Adaptation Choose BF16 for supreme quality or INT8 ConvRot to run on mid‑range GPUs with limited video memory.</li><li>Optimized for FeiHou Easy H3 Designed for the FeiHou Easy H3 node suite and workflow for best generation performance.</li></ul><h2 id="recommended-settings">⚙️ Recommended Settings</h2><ul><li>Sampler: <code>res_multistep</code></li><li>Scheduler: <code>simple</code></li><li>Steps: 8‑12</li><li>Turbo LoRA weight: <code>0.75</code></li></ul>This combination balances generation stability, fine‑detail preservation and visual consistency, suitable for most creative workflows.<h2 id="use-cases">🎯 Use Cases</h2><ul><li>General‑purpose text‑to‑image generation</li><li>Dynamic‑oriented artwork and illustration creation</li><li>Complex‑detail‑heavy scene rendering</li><li>ComfyUI local deployment on high‑end or mid‑range consumer GPUs</li><li>Workflows expecting both stable baseline and enhanced stylistic features</li><li>Iterative creation, concept art, character illustration</li></ul><h2 id="known-tips">📌 Known Tips</h2><ol><li>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.</li><li>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.</li><li>This is a Checkpoint Merge, not a native trained H3 checkpoint. Some edge‑case rare concepts may behave differently from original base H3 models.</li></ol>

MiniMax H3 Remix

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.

Files with SHA256: cff5558af4cbebb06447c2ab8f5ca2e97ccceb4fa3b9fdc0af0d6e546170bf53