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If you enjoyed this model, why don't you check out my other works? I put a lot of effort into correctly recreating artist styles and making the occasional character LoRA. 😊
Source du modèle
Description de la source
If you enjoyed this model, why don't you check out my other works? I put a lot of effort into correctly recreating artist styles and making the occasional character LoRA. 😊
You can also buy me a Coffee ☕ at https://ko-fi.com/stickyricky
Drop some suggestions for other artists/styles in the comments. Otherwise I'm gonna end up reworking everything I've uploaded this far again and again.
These models were trained using the collab/guide by holostrawberry [Guide] Make your own Loras, easy and free - colabs | Stable Diffusion Other | Civitai
About the artist:
Sources
1 sourceArtefacts du modèle
1 artefactExtraits de sources
1 extraitSource context: 5220 downloads · Type LoCon · Base model SD 1.5
Twitter: Nyantcha (@ThiccWithaQ) / Twitter
Patreon: ThiccWithaQ | Creating illustrated art | Patreon
Expect nsfw content with a tendency towards shiny skin,thick thighs and large breasts.
Weights & Prompts
v2.0:
New goto version. It is so much better at getting the detailed style mostly used for very nsfw images.
Use a weight of 0.8-1.2, adjust to taste and depending on your checkpoint.
Check the XYZ plot for reference.
Many of the examples are the exact same prompts with the same seed. Swap between this and the previous version to see the difference.
LoCon (NAI):
Use a weight of 1.0, adjust to taste. This works even with other LoRA. But in return it isn't quite as intense as the AOM version.
Version 1.5is a slightly improved variant. I'm currently testing out quite a few training options. This was the best one while testing file size and learning rate.
LoCon (AOM):
Use a weight of 1.0 . Go a bit lower (I used 0.8) for character loras. As usual I have included an XYZ plot for reference.
Please leave a review if you enjoyed this model or have problems with it. I'd also be interested in how the model behaves with other base checkpoints, so why don't you give it a try and throw some images down below! 👇
