SETTINGS
  Base       Anima-Base v1.0. Also works on Anima-Turbo, JANIMA and the
             all-in-one. Turbo is an additive distillation merged into Base, so
             a LoRA trained against Base carries over; the reverse is not true.
  Strength   1.0
  Sampler    er_sde      Scheduler  beta
  CFG        4.5         Steps      30
  Size       832x1216 portrait, or 1216x832


KNOWN ISSUE — AND IT IS NOT THE LORA

  The reference prompts for this character describe a complete character sheet:
  identity, full outfit, simple background. Anima answers with the booru
  convention that goes with it — several views in one frame, chibi insets,
  sometimes a small second figure.

  This happens on the  base model too, with nothing loaded.

  Add this to your negative prompt and it goes away:

    multiple views, reference sheet, character sheet, chibi, thought bubble,
    2girls, multiple girls

  Measured on paired seeds: 2 malformed images out of 6 without it, 0 out of 6
  with it. No cost to pose or composition.


IF AN IMAGE COMES OUT MALFORMED, CHANGE THE SEED — NOT THE STRENGTH

  Strength was tested blind at 0.5 / 0.7 / 0.9 / 1.1. None of the six
  comparisons separated: the spread between the best and worst strength was
  20 Elo points, while the spread WITHIN a single strength was 88 to 92. The
  seed matters about four times more than the strength.

  Some seeds fail at every strength — one produced a missing arm at 0.5, 0.9
  and 1.1 alike. Rerolling costs one image; hunting for the right strength
  costs an afternoon and fixes nothing.


COMING FROM ILLUSTRIOUS? THREE THINGS CHANGE

  - CFG 5 -> 4.5, and Euler a -> er_sde. Anima is a rectified-flow DiT, not
    SDXL; the ancestral samplers are not its regime.
  - 18 steps is a Turbo-only budget. On Base or JANIMA, use 30.
  - There is no clip skip. Anima encodes with a Qwen3 text encoder and an
    adapter, not CLIP. Any clip-skip value is ignored.


THE REFERENCE PROMPT CONTRADICTS ITSELF

  The short-hair prompt asks for "showing nape" together with "looking at
  viewer" and "sideway glance". Nape means her back is turned; looking at
  viewer means it is not. The model resolves it by drawing two figures.

  Every sample here uses the prompt exactly as written. If you want a single
  figure reliably, drop either "showing nape" or "looking at viewer".


HOW IT WAS MADE

  Trained with kohya-ss/sd-scripts (anima_train_network) against Anima-Base
  v1.0. unet-only, dim/alpha 4, AdamW8bit 1e-4, cosine with restarts, sigmoid
  timestep sampling, 1024, 800 steps, bf16, on a single 8 GB card.

  Text encoder not trained — measured, not assumed: the 196 Qwen3 LoRA modules
  cost 1.1 GB of VRAM and bought no measurable loss difference at 400 steps.
  Civitai's own Anima trainer ships ss_text_encoder_lr = 0.

  Dataset: 38 published images, perceptually deduplicated (one pair was 0 bits
  apart on a dHash and counted once). Hair length rebalanced with num_repeats
  rather than by deleting images, because a held-out test showed each split
  winning only where its own data was. The artist style tags are written INTO
  the captions on purpose: what you leave out of a caption is what the trigger
  absorbs.

  Selection: every candidate was judged blind against the  base model,
  mixed in unlabelled.


WHAT IT DOES NOT DO

  - The beret ornament is baked in rather than following the scene. None of the
    public captions name it, so it learned one fixed motif.
  - Character and art style are not fully separable — 36 of the 38 public images
    use the same style stack, so there is nothing to contrast it against. A
    separate style LoRA is published alongside; see "Milk (Anima)".