TungstenDispo Embedding版本v1 (ID: 3826)

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.

描述:

Workflow for Above Pictures

Sampler: Euler-A, 20 Steps, CFG: 7.0. Slightly cherry-picked for best pictures.

900x768 -> 4x LDSR upscaled

Negative Prompt for all images (Not entirely sure if all of them matter, but does help a bit):

> (Neg_Facelift768:0.3), (blur:0.3), (cropped:1.3), (ugly:1.3), (bad anatomy:1.2), (disfigured:1.1), (deformed:1.1), (bad proportions:1.3), (extra limbs:1.2), (missing fingers:1.2), (extra fingers:1.2), (out of frame:1.3), (makeup:1.1)

Positive Prompts:

First Image:

>TungstenDispo, photoshoot of a asian female model with white hair, in a dark room, (closeup:0.2)

Second Image:

>(TungstenDispo:1.3), photoshoot of a (model:0.7), posed, in a dark room, highly detailed, (closeup:0.2), (skin pores:0.5)

Third Image:

>(TungstenDispo:1.2), photoshoot of a model, posed, in a dark room, (closeup:0.2)

Fourth Image:

>TungstenDispo, photoshoot of a male model, posed, in a dark room, (closeup:0.2)

训练词语: TungstenDispo