Style LoRA based on illustrations by grafelem.
Loose painterly anime: brush-stroke hatching on clothes and hair, rough painted backgrounds, sharp ink lines on top.
The whole picture is drawn in one hand — and the rough strokes also hide the small mistakes the base model usually makes in hands, gear and busy backgrounds.
Works on anything: single characters, two- and three-person scenes, landscapes with no people, animals, still life.
This is a style, not a character — name the character you actually want.
Not an official model by the artist.
Base model: Anima (anima-base-v1.0)
Trigger: @grfl. (put it at the very start of the prompt, then regular Danbooru tags)
No style tags needed.
LoRA strength: 1.0 (0.8–1.2)
Example prompt
@grfl. safe, masterpiece, best quality, score_7, 2girls, frieren, fern (sousou no frieren), purple hair, sitting at tavern table, eating, bread, soup, warm light, smile
Recommended settings
Sampler: DPM++ 2M SDE, scheduler simple, 25 steps, CFG 5
Hires fix: 1.5×, lanczos, 20 steps, denoise 0.35 — recommended: it keeps the hatching and adds crisp line detail.
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, text
Tips
Known characters work as usual (hatsune miku, roxy migurdia, makima (chainsaw man)). If a second character comes out wrong, add their hair colour — e.g. Fern needs purple hair.
Don't add extra aesthetic tags like score_8 or aesthetic — they push Anima towards a smooth polished render and wash out the strokes.
Strength above 1.2 is not needed and starts to override the composition.
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Training
105 images, signatures and watermarks removed · short captions: trigger + people count, framing, hair colour, a few key items and character names — nothing describes the style or colours, so the LoRA carries all of it
No quality tags in captions: the model keeps its own sense of quality and the style is layered on top
Anima LoRA, rank 32 / alpha 32, incl. AdaLN modulation · AdamW8bit, LR 1e-4, constant with 5% warmup · 12 epochs, 1260 steps, batch 1 · 1024 res, buckets 512–1536 · sigmoid timesteps, scale 1.3
Epoch 12 picked by side-by-side, image-by-image comparison across 18 scenes and several seeds