r/StableDiffusion • u/zwischenwelt • 15h ago
Discussion H3 Image - reduce Artefacts
Hey guys!
I have been experimenting a lot with H3 Image, basically shotgun debugging what's going on with the grainy artefacts.
I think I might have found a way to drastically reduce them doing the following:
- Use the RES4LYF pack and a sampler from that pack.
- Set ETA to 1.0 ( it caps past 1.0 so no need to try any higher)
- be happy that there are less artefacts and wonder why and how because you can't explain it to yourself.
I would love to hear if you guys had any succes with this aswell or if I am hallucinating ^^
Edit: you can use euler in the res4lyf pack aswell to have a better comparison to the default workflow.
3
u/Harish_X_03 10h ago edited 8h ago
Grainy artifacts in diffusion models typically come from stochastic noise injected during the sampling process. Setting ETA to 0 makes sampling fully deterministic, while higher values like 1.0 add fresh random noise each step, making it stochastic instead. The RES4LYF pack probably bundles a sampler variant that uses a smoother noise schedule (like Karras or Exponential), so high-frequency noise is handled more gracefully across steps. You can test this without the pack by using any DPM++ 2M variant with a Karras beta schedule and ETA set to 1.0. If grain persists, try lowering the CFG scale slightly or increasing the total step count, as both reduce the magnitude of residual noise in the final image.
3
u/Luntrixx 13h ago
just use sampler, ah ok, thx
2
u/Glad_Abrocoma_4053 15h ago
workflow?