Descriptions:
Tired of waiting 10+ minutes for a single MiniMax H3 video? 🎬 While MiniMax H3 delivers world-class multimodal audio and video quality, its default generation speed can be brutally slow. In this video, I reveal a 3-Node Speed Stack that cuts rendering times by up to 70% without noticeable quality loss!
By combining Sol-Attn (Dynamic Attention Selection), SageAttention (Low-Precision GPU Compute), and EasyCache (Temporal Feature Reuse), we achieve incredible speedups across Text-to-Video (T2V), Image-to-Video (I2V), and Reference-to-Video (Ref2V) workflows.
🔥 Speed Benchmarks in this Video:
• 📄 Text-to-Video: 7m 12s ➔ 3m 34s (~2x Speedup)
• 🖼️ Image-to-Video: 10m 49s ➔ 3m 19s (~3.2x Speedup)
• 🎠Ref-to-Video: 8m 05s ➔ 3m 41s (~2.2x Speedup)
🔥 What you’ll master in this tutorial:
• 🧠The Speed Trinity: How Sol-Attn, SageAttention, and EasyCache work together inside ComfyUI.
• ⚙️ Node Configuration: Dialing in tau: 1.2, range percentages (0.2-0.9), and cache thresholds.
• 💻 Local vs. Cloud Setup: Why setting allow_compile to False is crucial for temporary cloud GPUs (RunningHub / Compshare).
• 🧪 Quality Stress Tests: Side-by-side visual comparisons for fine details, facial consistency, and fluid movement.
#runninghub #MiniMaxH3 #ComfyUI #AIVideo #SolAttn #SageAttention #EasyCache #VideoOptimization #SpeedUpAI #AIWorkflow #GenerativeAI #RunningHub #AITutorial #AIFilmmaking #MachineLearning #ImageToVideo #TextToVideo
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resource
https://huggingface.co/Comfy-Org/MiniMax-H3
https://github.com/kijai/ComfyUI-SolAttn_triton
https://github.com/kijai/ComfyUI-KJNodes
online workflow
1：video_minimax_h3_t2v_fast
https://www.runninghub.ai/post/2085663912359473154/?inviteCode=kol02-rh021
2：video_minimax_h3_i2v_fast
https://www.runninghub.ai/post/2085663946464735234/?inviteCode=kol02-rh021
3：video_minimax_h3_r2v_fast
https://www.runninghub.ai/post/2085663964532420609/?inviteCode=kol02-rh021
Runninghub Fan Benefit: Register to get 1,000 RHB
https://www.runninghub.ai/?utm_source=kol02-RH021
workflow and prompt engineering download：
https://github.com/amao2001/ganloss-latent-space/tree/main/workflow/2026-08-07%20minmax%20fast
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