用戶LoRA
XL
Chadmix Finetune Extract for NoobAI VPred 1.0
- 上傳時間
- 2024年12月27日 下午1:42
- 使用數
- 560
- 評論
- 暫無評論
- 觸發詞
gigachad \(meme\), the chad smile, the serious gigachad, sitting gigachad lean
- 許可權
- 允許圖片生成與分享
- 允許使用者下載此模型
- 允許生成圖片用於商業用途
用戶LoRA
gigachad \(meme\), the chad smile, the serious gigachad, sitting gigachad lean
With the release of Noob vpred 1.0, and taking bits of advice on training settings, and refining the dataset over a couple generations, I decided to retrain my new loras and split this version of Chadmix from previous ones. It's an aesthetic balance set built around a Gigachad meme dataset, which I happened to notice was enhancing character details. And this bake is a juicy one.Noob Vpred 1.0 has a significant learning curve unto itself and this doesn't do anything to change that. It doesn't provide a strong default style for the model to fill in details more consistently on short easy prompts. It reins in colorspace blowouts, biases gens towards more detailed characters and backgrounds, and provides Gigachad meme knowledge. I've gotten better results pushing CFG as low as possible on a CFG++ sampler, as of writing I'm rolling with 1.07 CFG on ComfyUI's scale, the lowest I've ever gone.The booru tags for gigachad (meme) etc apply, and I added "the chad smile", "the serious gigachad", and "sitting gigachad lean" as additional tags to prompt their respective poses/expressions.The recipe starts with a Noob + Itercomp merge, then I trained on top of that for 24 or so epochs, then extracted a 96dim linear 24 convolution locon using base Noob as the extraction difference. So it can potentially conflict with Itercomp mixes.I also recommend using this with my updated Chiaroscuro lora as a light/shadow/contrast control knob.