CFG distilled:

• "er_sde", "euler" or "euler_a" sampler.

• 20~30 steps.

• cfg scale 1~3. Note: cfg 1 = disable negative prompt = 2x faster. Cover images are using cfg 1. cfg > 1 gives you better prompt adherence.

• "Adjust Contrast" node to boost contrast.

DMD2 8-steps distilled:

• "euler" or "euler_a" sampler.

• 8~20 steps.

• cfg scale 1.

Update log

f = finetuned, d = cfg distilled.

Next (planned): 1536px training.

Latest:

Maximum stability:

(4/4/2026) p2 v0.23f dmd2 b: Different distillation settings.

(4/4/2026) p2 v0.23f dmd2: 8 steps dmd2. First dmd2 anima (?).

(3/28/2026) p2 v0.23fd: Rebased on preview2. Distillation: improved small details and stability (removed a regularization in distillation target and changed to second-order method).

Voting result: v0.20fd won. Thanks for the feedbacks.

Best quality (personal opinion):

(3/23/2026) p1 v0.20fd: Dataset: More furry. Finetuned base model: from v0.12 + more 100% steps. Better hands (?). Distillation: Fixed noisy pixels this time, really.