High Quality Dreambooth (JP's 24gb repo) trained checkpoint of Charlie Kirk created using high resolution images of the influencer. Trained with Dreambooth. Why a full checkpoint/2GB model for 1 subject?The trained checkpoint gives you the best quality possible - it's a clone of the trained model. LoRAs are fantastic for lots of things, but for human likenesses they don't match up to Dreambooth trained checkpoints. "I need a LoRA for my workflow"It's easy to extract a LoRA from an SD checkpoint on your own if you prefer a LoRA for your workflow. For instance you can use the Auto1111 extension "<a target="_blank" rel="ugc" href="https://github.com/hako-mikan/sd-webui-supermerger">Supermerger</a>" to extract a LoRA. That said, LoRA will not match the quality of the original Dreambooth model (loss incurred). The original Stable Diffusion v1.5 ema only (~4gb) checkpoint was the base this model was trained on (For anyone who opts to make their own LoRA extraction). If there's any requests for a LoRA version I'll upload one as an additional version to this post.Trigger with "Charliekirk Person"(yes, put person also). Use "Hi-Res fix" with the settings you'd normally use for best results. Use prompt weighting and/or Controlnet to get maximum flexibility out of this likeness model. Trained locally using JP's repo (24gb VRAM req / arguably the best for likenesses).Note on the Samples:Some same images were generated using Control Net (particularly the 16x9 film style images). I don't think Civitai notes if Controlnet was used but you may not be able to reproduce some of the images due to that.

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