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.
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.

















