Type | |
Stats | 1,666 |
Reviews | (214) |
Published | Dec 31, 2022 |
Base Model | |
Training | Epochs: 1,000 |
Trigger Words | TungstenDispo |
Hash | AutoV2 D001E1FFEA |
The embedding were trained using A1111 TI for the 768px Stable Diffusion v2.0 model. The embedding should work on any model that uses SD v2.0 as a base.
Usage for A1111 WebUI
Download the TungstenDispo.pt file and put in embeddings/. Prepend "TungstenDispo" at start of prompt.
V1:
A total of ~100 training images of tungsten photographs taken with CineStill 800T were used. The split was around 50/50 people landscapes.
The effect isn't quite the tungsten photo effect I was going for, but creates very nice, artistic portraits of people. For some of the people, I used SoCalGuitarist's Negative FaceLift as a negative embedding.
I used it on 0.3 strength, and it seems like it makes the eyes slightly less wonky. Unclear extent of effect.
Landscapes haven't been experimented with much and are WIP.