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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.
Model source
Source description
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:
Sources
1 sourceModel artifacts
1 artifactSource excerpts
2 excerptsSource context: 1822 downloads · Type TextualInversion · Base model SD 2.1
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)
Source context: 1806 downloads · Type TextualInversion · Base model SD 2.1
