Type | |
Stats | 2,897 1,355 |
Reviews | (291) |
Published | Sep 25, 2024 |
Base Model | |
Usage Tips | Strength: 1 |
Trigger Words | low-lit bad light nighttime blurred amateur low resolution photo overexposed noticeable noise in dark areas. shot on a mobile phone |
Hash | AutoV2 4CC703E3D7 |
The main goal was to achieve the quality of the photo as if it was taken on a phone, in motion and features to make realistic night photos. additionally improved the emotions and made them more alive, not as if people are posing in a studio.
V2 (WIP)
Already collecting more images for dataset. Newer version must be better
V1
Trained another amateur lora (that's already been done a lot around here).
Still, I took some pictures from my dataset on the 2000s and added another 700 pictures. It came out pretty good so far, but there is a controversial point about quality optimization, I was hoping it would help control the quality, but as I see it only confused the model. In the dataset there are many different gradations of quality, like:
1) High-resolution photo, shot on a mobile phone, no visible artifacts, clear and sharp
2) Low-resolution, amateur photo shot on digital camera, no visible jpeg artifacts, slightly noisy
3) Medium-resolution photo, shot on a mobile phone, slight graininess due to low light conditions, no significant digital artifacts
And other their combinations and variations. I think i'll remove such in next version. But this one working the best for me:
Low-resolution, amateur photo shot on digital camera, no visible jpeg artifacts, slightly noisy
Also i'm planing to train a checkpoint and if you can help me with resources for example, I will be ready to cooperate (you can DM me). And in general open to suggestions for work with AI =)