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AI Visual Systems02 / LoRA

AI Visual Systems / LoRA Training

LoRA Training

Viewpoint and composition control

A focused concept LoRA designed to make a difficult low-camera composition reproducible across subjects and scenes. Built as applied R&D for ProductBackground, this is composition training, not character training.

See the comparison ↓ProductBackground
Generated scene using the trained low viewpoint concept
Type
Concept LoRA
Focus
Camera perspective
Product context
ProductBackground
Role
Training and evaluation

Intent

Teach a composition, not a person.

The training target was a repeatable point of view: the camera sits close to a foreground surface while the subject remains readable deeper in frame. It was developed for ProductBackground, where reusable composition control helps a product-imaging workflow survive changing subjects, products, and scenes.

Direct comparison

A visible change in camera logic.

Baseline generation before applying the viewpoint LoRA
Before / baseline composition
Generation after applying the viewpoint LoRA
After / controlled low viewpoint

Selected tests

One concept across different scenes.

LoRA viewpoint test output 1LoRA viewpoint test output 2LoRA viewpoint test output 3LoRA viewpoint test output 4LoRA viewpoint test output 5LoRA viewpoint test output 6LoRA viewpoint test output 7

Learning

Control becomes useful when it transfers.

The useful result is not one image, but a learned visual instruction that can be tested, rejected, and applied again. Any facial resemblance in this test set is an incidental property of the training material, not the intended identity target.

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