AI-KSK ComfyUI workflow: MiniMax H3 Sol Attention Dual Mode.
This workflow is the Sol Attention comparison route. It mirrors the SageAttention route as a unified dual-mode graph: one FL2VA branch and one Ref2VA branch on the 20-step quality-baseline schedule, with a MiniMaxH3MemoryEfficientSolAttentionPatch node enabling the memory-efficient Sol Attention path. One relevant-looking node is not connected to the output and should not be described as active.
Main features:
- Sol Attention patch via MiniMaxH3MemoryEfficientSolAttentionPatch
- Unified FL2VA and Ref2VA dual-mode graph
- 20-step simple schedule as the quality baseline
- MiniMax H3 FL2VA and Ref2VA INT8 models with Qwen3-VL encoder
- Video and audio VAE decode to saved MP4 output
Suggested workflow:
Use this route to compare Sol Attention output and memory behavior against SageAttention and the unpatched baseline. Keep prompt, image, and schedule identical across the three runs so the comparison isolates the attention implementation.
RunningHub workflow (try online, no install needed):
https://www.runninghub.ai/zh-cn/post/2098333728819920898?inviteCode=rh-v1111
AI-KSK RunningHub workflow hub:
https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111
Bilibili tutorial:
https://www.bilibili.com/video/BV16DYL6FEsh/
RunningHub registration and AI tools:
https://www.runninghub.ai/?inviteCode=rh-v1111
https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111
https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111
https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111
Stable global access:
https://lelians.com/#/register?code=mFIJ5tZn
TokenRhythm AI model credits:
https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA
Youyun Cloud GPU:
https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq
https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52
RunPod Cloud GPU:
https://runpod.io/?ref=sxk5n5m7
Support AI-KSK:
https://ko-fi.com/aiksk
Description
AI-KSK ComfyUI workflow: MiniMax H3 Sol Attention Dual Mode.
This workflow is the Sol Attention comparison route. It mirrors the SageAttention route as a unified dual-mode graph: one FL2VA branch and one Ref2VA branch on the 20-step quality-baseline schedule, with a MiniMaxH3MemoryEfficientSolAttentionPatch node enabling the memory-efficient Sol Attention path. One relevant-looking node is not connected to the output and should not be described as active.
Main features:
- Sol Attention patch via MiniMaxH3MemoryEfficientSolAttentionPatch
- Unified FL2VA and Ref2VA dual-mode graph
- 20-step simple schedule as the quality baseline
- MiniMax H3 FL2VA and Ref2VA INT8 models with Qwen3-VL encoder
- Video and audio VAE decode to saved MP4 output
Suggested workflow:
Use this route to compare Sol Attention output and memory behavior against SageAttention and the unpatched baseline. Keep prompt, image, and schedule identical across the three runs so the comparison isolates the attention implementation.
RunningHub workflow (try online, no install needed):
https://www.runninghub.ai/zh-cn/post/2098333728819920898?inviteCode=rh-v1111
AI-KSK RunningHub workflow hub:
https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111
Bilibili tutorial:
https://www.bilibili.com/video/BV16DYL6FEsh/
RunningHub registration and AI tools:
https://www.runninghub.ai/?inviteCode=rh-v1111
https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111
https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111
https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111
Stable global access:
https://lelians.com/#/register?code=mFIJ5tZn
TokenRhythm AI model credits:
https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA
Youyun Cloud GPU:
https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq
https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52
RunPod Cloud GPU:
https://runpod.io/?ref=sxk5n5m7
Support AI-KSK:
https://ko-fi.com/aiksk
minimax h3
workflows
ai-ksk
runninghub
workflow
comfyui
attention patch
20 step
ref2va
fl2va
memory efficient
sol attention
Details
Downloads
35
Platform
CivitAI
Platform Status
Available
Created
9/12/2026
Updated
9/16/2026
Deleted
-
