<h3 id="scale-bender-sakura-aora-v2">Scale-Bender — Sakura· AoRA v2</h3>Base model: AnimaYume v4<h2 id="check-changelog-greatergreatergreatergreater">CHECK CHANGELOG &gt;&gt;&gt;&gt;</h2><hr />Most character LoRAs are trained on vibes. This one was trained on structure. AoRA is my character LoRA workflow for the Scale-Bender project. It is not a new model architecture, but a dataset preparation, curation, captioning, and training methodology focused on character preservation. This version focuses on identity and body-structure consistency, using morphology-aware captions and a controlled dataset split. The goal is to keep the character recognizable across poses, styles, compositions, and outfit variations. Sakura stays Sakura. Share your generations and feedback in the comments — every result helps improve the next AoRA version. TRIGGER: sakura_aora, 1girl, body reference, official outfit, navel This model not permits users to:<ul><li>Sell images they generate</li><li>Use the model without crediting the creator</li></ul> This model permits users to:<ul><li>Run on other service</li><li>Run on Civitai</li></ul>

Sakura [Boruto] - AoRa v2 Edition LoRa

Initial public release. Changelog: - First Sakura AoRA release. - Trained with the AoRA v2 character workflow. - Focused on character identity, body-structure consistency, and outfit stability. - Uses morphology-aware dataset preparation with official / fanart / body-reference separation. - Designed to keep Sakura recognizable across official outfit, alternate outfits, dynamic poses, and different compositions. - Tested on portrait, full body, action pose, alternate outfit, and wide-shot prompts. - Recommended for anime and semi-realistic anime checkpoints. Known limitations: - Clothing and scene tags are still mostly handled implicitly in this version. - VLM-based semantic captioning for outfit, accessories, and scene context is planned for future AoRA versions. - Some checkpoints may alter the face shape or outfit details more strongly than others.

Files with SHA256: 427e6dfb640a1977304eed98ec1f823559e97c0efb29afa0c0587b37b3153e3f