(Please forgive the mess, using Civitai to host these LoRAs with different training settings to compare.)

Enhances the lighting to be less studio and more interesting. A work-in-progress.

Trying some LoRA captioning techniques.

Dataset 1 (48 images)
- v 0.1a - short captions
- v 0.1b - long captions
- v 0.1c - short + long captions (48 images + 48 same images)

(Dataset 2 (176 images)
- v 0.2 super moody

0.1a-c have fewer images in the set and are more moody darker images with film grain.

0.2 super moody trained on 4.5x as many images with more variety, with 2 copies of each image, one with a shorter caption and one with a longer one.

Try the trigger word moodlit for more control.