It is important to me that each time the generation process is run through, different faces are created that do not correspond to a natural person.

RAW photo of {girl | man}, cameraView, __hair_color_mm__ + nationality/** + simple grey background , stunning, matte, from side, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

with:
(face:__attribute-face-form/**__),

the free version summarized (face:__face-forms__),

By weighting the nationality, for example, the influence on the face shape can be limited to regional characteristics.

Example:
((__nationality__)) + face:__face-forms__

For this reason I have created these wildcards.

In this wildcard I provide a small random selection of my complete wildcards for free use. (380 variations)

The complete wildcards include more than 440,000 variations for the different face shapes.