Koichame Style — Dreamy Pastel Anime

Style LoRA for CircleStone Anima, based on illustrations by koichame.

Soft pastel anime painting: thin coloured lines, gentle gradients and translucent layers, flowers and petals everywhere, white dresses, calm faces with large clear eyes, and quiet scenes on pale or deep night backgrounds.

At its best on character illustrations: known characters in full body or cowboy shots, a bouquet, a cake, a moon, water and lily pads, a stage with spotlights. Dark compositions with a glowing figure work just as well as light ones.

This is a style, not a character: name the character you actually want.

Not an official model by the artist

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About this version — Anima

Base model: Anima (anima-base-v1.0)

Trigger: @koichame (at the very start of the prompt, followed by a comma, then regular Danbooru tags). It is the artist's own Danbooru tag; base Anima knows it a little, the LoRA makes the style far softer and calmer than the tag alone.

No style tags needed.

LoRA strength: 1.0

Hires fix is optional here and needs a low denoise (see below).

Example prompt

@koichame, safe, masterpiece, best quality, score_7, 1girl, solo, frieren, elf, pointy ears, long hair, twintails, white hair, green eyes, white dress, holding bouquet, blue flower, barefoot, full body, sitting, partially submerged, water, ripples, reflective water, leaf, petals

Recommended settings

• Sampler: DPM++ 2M SDE, scheduler simple, 25 steps, CFG 5

• Size: about 1 megapixel in any aspect ratio: 832×1216, 1024×1024, 1216×832, 1344×768 all work.

• Hires fix (optional): lanczos 1.5×, 20 steps, denoise 0.20, with the LoRA still loaded at 1.0.

   At 0.20 the hires pass adds a little depth to hair, lace and jewellery. Higher denoise (0.35) adds sparkles and hard lines and redraws the eyes, and even at 0.20 it can change eye colour or the shape of closed eyes, and redraws small faces in full-body shots. Check the eyes: if the hires pass spoils them, keep the first pass, it is clean on its own.

Negative prompt:

worst quality, low quality, score_1, score_2, score_3, jpeg artifacts, logo, watermark, signature, twitter username, bad anatomy, bad hands, missing finger, extra digits, fewer digits, nsfw, nude, explicit

Tips

• Describe the scene with flowers, water, sky or a moon. That is where the style shines: bouquets, roses, petals, lily pads, night sky, clouds.

• Keep "signature" in the negative. The artist signs most works and Anima associates the tag with a small handwritten signature; with the negative it is rare, but a faint one can still show up.

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Known issues

• Very light, airy pieces come out a little darker and greyer than the artist's own: the LoRA keeps the soft colours but less of the glowing white.

• Hires fix can damage eyes even at low denoise (see above).

• Small text and numbers (Miku's "01" tattoo, signs) can be smeared.

• Trained on Anima Base v1.0 only. Behaviour on Anima Turbo and third-party merges is unknown.

• Showcase images: prompts made from the tags of the artist's own works, original aspect ratios at about 1 MP; 23 of 33 with hires 1.5× at denoise 0.20, 10 kept as the first pass where hires spoiled the eyes. Full prompts are in the image metadata.

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Training

65 images out of 75: exact duplicates and smaller copies of the same artwork removed, three tiny eye close-ups (under 700 px) removed; signed images kept, with the signature tagged so it can be pushed into the negative; portrait, square and landscape mixed

Short tag captions: trigger + rating + people count + character names + content tags from WD EVA02 Large v3 (names spot-checked by hand); nothing about style, palette, lighting or medium, no quality tags

Anima LoRA, rank 64 / alpha 64, incl. AdaLN modulation; DiT trained, text encoder and LLM adapter frozen · AdamW8bit, LR 1e-4, constant with 5% warmup · batch 1 · 1024 res, buckets 512–1536 · sigmoid timesteps, scale 1.3 · caption dropout 5% · 12 epochs

Release file: epoch 8 of 12 (520 steps). Epoch 10 fell into a template (flat grey ground, tiny figures, objects dropped from the prompt); epoch 12 drew everything brighter than the artist's own works

Picked from all epochs 2–12 on 6 scenes, then an overfitting check on 6 prompts far from the dataset × 3 seeds, then a comparison with 12 of the artist's own works in their original aspect ratios