Introducing Calixyne, My first Character Lora. She's 100% AI generated, starting with QWEN, and then creating different poses, to generate the dataset. Trained locally with diffusion pipe. ---- Added v2 for QWEN, added more images to dataset, and retrained. Generally feels like a better identity lock without over-fitting. If you're doing a single pass, then a LoRA strength of 1 works nicely, if you're doing a latent upscale/second pass, I'd suggest 0.75 on the first run and 0.25 on the second. ---- Added QWEN. - All of the example images were generated both with the QWEN Image base model, and the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2120166/hyphoria-qwen">Hyphoria QWEN </a>checkpoint to show the variation with the underlying Checkpoint. Relatively happy with the results, although you probably want to use a weight of 0.6-0.7. ----- Added WAN2.2. - Note that most of the identity is in the LOW LoRA. You can use both, but definitely need the LOW! ----- Added Illustrious/SDXL. - Created a handful of portraits with different checkpoints to show the identity across differing models.

Calixyne (Illustrious/QWEN/WAN2.2)

Retrained with some additional images, generally find this to have a better character lock. Strength of 1.0 when using a single pass, if doing latent upscale I would recommend 0.75 on first pass and 0.25 on the second to avoid over fitting.

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