Training uses (β₁=0.5, β₂=0.999) with a learning rate of 2e‑4 , decayed linearly after 200 k iterations. Batch size = 16 (mixed precision). The authors also employ gradient penalty for the discriminator to improve stability.
If you're referring to a model or an image identified by the number "20095681" and possibly related to a boy model, here are a few general steps you could take depending on your goals: boy model nakita 20095681 imgsrcru
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Training uses (β₁=0.5, β₂=0.999) with a learning rate of 2e‑4 , decayed linearly after 200 k iterations. Batch size = 16 (mixed precision). The authors also employ gradient penalty for the discriminator to improve stability.
If you're referring to a model or an image identified by the number "20095681" and possibly related to a boy model, here are a few general steps you could take depending on your goals: