I've captured the tokenized identity <a target="_blank" rel="ugc" href="https://twitter.com/naturevrm">NatureVRM</a> as a full-body LoRA. The training process is described in this blogpost <a target="_blank" rel="ugc" href="https://hackmd.io/@reneil1337/avatar-lora">https://hackmd.io/@reneil1337/avatar-lora</a> and can be applied to your own VRM avatars. Publishing the SD LoRAs under cc0 licence. Enjoy the model and please share your creations.<h3 id="prompt-via-&quot;..-naturevrm-a-person..-&quot;-kjrtpjkp4">Prompt via ".. NatureVRM a person.. "</h3>Image training dataset - SD15 v1.0 was trained with 100 images in 512x512 resolution - SDXL v1.0 was trained with 100 images in 1024x1024 resolution - Flux.1 D Beta was trained with 100 images in 1024x1024 resolution

NatureVRM

<ul><li>Prompt with "NatureVRM a person"</li><li>100 images (1024px) to captured the avatar in 3D software</li><li>1500 per epoch + class regulation (1024px) via aitrepreneur</li></ul>

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