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Liliana Vess (Magic: The Gathering) [Klein 9B]

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Updated: Apr 8, 2026

charactermtg

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1 variant available

SafeTensor

79.03 MB

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Type

LoRA

Stats

32

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Reviews

Published

Apr 8, 2026

Base Model

Flux.2 Klein 9B-base

Hash

AutoV2
A71F6B2F82

Trigger Words

LilianaVess
Purp13Dr3ss
change the woman into LilianaVess wearing Purp13Dr3ss

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. 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.

Creates Liliana Vess from Magic: The Gathering, and it is capable of functioning in both T2I (Text to Image) and I2I (Image Edit) workflows.

The primary trigger word for her is "LilianaVess," and the trigger for her traditional outfit is "Purp13Dr3ss"

For image edit workflows, you can give it commands like:

change the woman into LilianaVess wearing Purp13Dr3ss

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting of official card art, publicly accessible promotional material, publicly available fan-created artwork, and synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of hundreds of images (some standalone; some as part of control/target pairs). This is the total used for training after low quality sets were culled. Dataset was collected/created in 2025 & 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.