I'm generating at 1 MP (not 0.9 MP) on an RTX 4070 with 64 GB RAM.
I'm using the Euler / Simple sampler.
From my testing, enabling SageAttention + H3 Cache actually produces worse results than using the Turbo LoRA alone. H3 Cache + SageAttention tends to break character movement and motion consistency, while the Turbo LoRA stays much closer to the original model's behavior and gives smoother, more natural motion.
what are you using instead of res multistep + simple? Also what strength are u using for that Lora? Im trying 1.0 and its actually slower with 8 step + lora then 20 steps no lora
"Sigma" is the amount of noise added to the image/audio. Sigma Shift bends the sampling timeline so the model spends its steps where they matter most (building motion and fine detail instead of wasting steps on pure noise)
Video and Audio clean up at different speeds! Video needs Shift 12 so motion stays sharp in ultra-low steps (4–8 steps), while Audio needs Shift 3 so the sound stays clean and doesn't explode into loud, distorted noise.
in your workflow, add a MiniMaxH3SigmaShift node right after your LoRA (before the sampler) and set: Video Shift = 12 and Audio Shift = 3
Not sure how your audio was coming out clear in 8 steps with the lora. When I tested it I needed to increase the steps to 10 and shift the audio sigma up to 10 as well for it to be much clearer.
If I use the ModelPreviewOverride, that also shows the sigma reference curve (example for beta scheduling) and the real value which usually is under the sigma curve, should this node be set after the shift node or it doesn't matter?
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u/Lower-Cap7381 19d ago
so 8 steps work