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v1.0 — Initial Release
- First Boa Hancock AoRA release.
- Trained with the AoRA v2 character workflow.
- Focused on identity preservation, body-structure consistency, and outfit stability.
- Built with structured dataset separation: official / fanart / morphology.
- Tested on portrait, full body, official outfit, alternate outfit, dynamic pose, and wide-shot prompts.
- Best results with anime and semi-realistic anime checkpoints.
Known limitations:
- First release, still experimental.
- Outfit and scene tags are still mostly implicit.
- Future AoRA versions will improve semantic captioning, dataset scoring, and VLM-assisted validation.
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License:
AnimaThe Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
Built on NVIDIA Cosmos
Boa Hancock [One Piece] — AoRA Edition LoRA v1.0
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.
Share your generations and feedback in the comments — every result helps improve the next AoRA version.
TRIGGER: boa_aora, 1girl, body reference, official outfit
This model not permits users to:
Sell images they generate
Use the model without crediting the creator
This model permits users to:
Run on other service
Run on Civitai

