How to Make MiniMax H3 30% Faster Than LTX 2.3!

Описание: 🚀 How to Make MiniMax H3 30% Faster Than LTX 2.3!
In this tutorial, I’ll show you how to combine multiple open-source acceleration techniques into a single MiniMax H3 acceleration workflow for ComfyUI.
By combining several optimization methods, MiniMax H3 can achieve around 30% faster generation than LTX 2.3 at comparable video quality in my test.
🔥 What we’ll cover:
• How to set up a fresh Portable ComfyUI for MiniMax H3
• How to use the new ComfyUI 0.30+ Dynamic RAM architecture
• How to create an “All Accelerate - In - One” module
• LightX2V / MiniMax-H3-Turbo for low-step generation
• Patch Sage Attention for faster attention processing
• MiniMax H3 Sigma Shift
• Spectrum Apply MiniMax H3
• Patch Sol-Attn for optimized sparse attention and lower VRAM usage
• How to combine all of these techniques into one workflow
• How to reduce sampling steps from 20 to 10 while maintaining good quality
• MiniMax H3 vs. LTX 2.3 speed comparison
The goal is to turn MiniMax H3 into a much faster and more practical local video generation solution — while keeping the workflow fully open-source and running locally through ComfyUI.
⚡ Test Setup
MiniMax H3: 1280×736
LTX 2.3: 1280×720
Same cinematic prompt and comparable video quality.
⚠️ Performance may vary depending on your GPU, VRAM, settings, workflow, and installed ComfyUI/custom node versions.
If you’re interested in MiniMax H3, ComfyUI, local AI video generation, and open-source acceleration, make sure to subscribe for more tutorials and workflow optimizations.
🎬 Check out some of my other AI video experiments and have fun creating!

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If you’d like to help me keep creating, you can do so at :
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🔥Link and resource:
MiniMax H3 Acceleration Workflow:
https://drive.google.com/drive/folder...
LightX2V / MiniMax-H3-Turbo Lora 4 Step
https://huggingface.co/Kijai/MiniMax-...