V3: Fuller images, booru tags + natural language in captions, overall better colors, more cartoon style. Different age groups and genders. V1 + V2 only trained women,
iX comes to Anima!
This uses my trained iX lora/checkpoints from Illustrious mixed in with Anima Base!
Works very well with natural language.
YOU NEED:
qwen base encoder & qwen image vae
All gallery images should have metadata so you can drag and drop to see the exact things you need along with prompts and settings.
SETUP:
Steps: 30 - 50
CGF: 4 - 5
Sampler: Eular/Eular A (haven't tested others)
Description
What changed in testing (V2 vs V3, same 26 prompts and seed)
Fuller compositions: subjects are larger and more detailed. A dragon over a castle went from a dark silhouette to a bright, detailed red dragon, and a cyclist went from small in the landscape to the main subject.
Stronger color: boxer, samurai and storm scenes pick up magenta, violet and red light where V2 stayed darker.
The iX look now holds on men and older people. V2 drifted toward plainer, more realistic faces on them.
Faces are rounder with bigger eyes, so V3 reads more cartoon than V2. This is the biggest change to the style.
Pink and magenta show up in more scenes, including ordinary ones like a kitchen or a library.
Known characters still come from the base model. None of the gallery characters (Yoruichi, Kafka, Ranni, Boa Hancock) are in the training set, and all of them render on-model.
Tips and known limits
Clean-shaven young men and characters with no age cues can read young, as on V2. Add stubble, a beard,
mature maleormature female.In wide frames, use
full bodyand say "head down to the feet". A sentence alone can crop the figure.Add
standingif the pose matters. Some actions still crouch or sit on their own, such as feeding birds or a campfire scene.Neon signs can show gibberish, or even the character's name.
Recommended settings
30 steps, CFG 4, shift 3, euler / simple, about 1–1.3 MP (e.g. 864×1536, 1536×864, 832×1216)
Text encoder: qwen_3_06b_base. VAE: qwen_image_vae.
Prompt with booru tags, a plain sentence, or both.




