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.

Files with SHA256: 123f16b2fb36508b95f6d4e718d8f71a3490ec300be161bd347db570249e5748