Stylized PBR Animation [Qwen & Klein]

Takes a realistic, drawn, or 3D photo as the initial image, then converts it to a stylized physically based rendering animation aesthetic, comparable to the kind seen in major animated films. Primarily trained on realistic source images, but also includes some drawn/animated style source data as well.

The primary way to utilize this model is to use the trigger phrase:

make this PBRSty1e

This does have partial support for targeting specific subjects, so triggers like these may also work, depending on your source image:

make the man PBRSty1e
make the woman PBRSty1e

Recommended Strength: 1.0-1.5

California AB 2013 Training Data Disclosure

• This LoRA was fine-tuned using visual data consisting of still images derived from animated works, along with photographs, game screenshots, and AI-generated images used as inputs for synthetic transformation. The training data includes copyrighted material owned by third parties, including animation studios, game publishers, and individual artists, as well as derivative synthetic content generated from those inputs. 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 70 image pairs (140 images total). Each pair was created by taking an existing image, including animation stills, photographs, game screenshots, or AI-generated images, then generating an appropriate paired version of that image using AI, resulting a pair consisting of an image in the desired style as well as an image in the source style. Data was collected and generated between approximately 2024 and 2026.

• Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images and video 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.