This LoRA model has been trained on Kohya SS based on <a target="_blank" rel="ugc" href="https://www.patreon.com/InCaseArt">InCase</a> artstyle on Anything v3.0 checkpoint. Obtained graphics are close to the original artstyle. This LoRA model could be use for digital representation of women.Note : This model is a new release of an old LoRA model that I have initialy released on my <a rel="ugc" href="https://subscribestar.adult/gtsuyastudio">SubscribeStar</a> account.Note : While the training dataset includes works created by <a target="_blank" rel="ugc" href="https://www.patreon.com/InCaseArt">InCase</a> without direct authorization, this LoRA model's design ensures full compliance with copyright laws. This is achieved through a transformative training process that abstracts and generalizes <a target="_blank" rel="ugc" href="https://www.patreon.com/InCaseArt">InCase</a> artistic style rather than replicating specific copyrighted works. As a result, this LoRA model is able to generate innovative and original content inspired by <a target="_blank" rel="ugc" href="https://www.patreon.com/InCaseArt">InCase</a> artistic influences, while remaining within the boundaries of legal and ethical standards.

InCase artstyle (SD 1.5)

InCase.safetensors

v1.0

<a rel="ugc" href="https://twitter.com/InCaseArt">InCase</a> style (LoRA) for <a target="_blank" rel="ugc" href="https://civarchive.com/models/66/anything-v3">Anything v3</a> compatible models and different versions. After several failed attempts, this is my first try on training a LoRA model. I have used the same images set than for my hypernetwork model : <a target="_blank" rel="ugc" href="https://civarchive.com/models/5124/">https://civarchive.com/models/5124/</a>. I suggest to use LoRA weight between 0.6 and 0.7 to obtain a good rendering.If you like this model, please add a small review or a sample of your work to share with the others all the possibility of this model.

InCase style (LoRA)

Trigger : &lt;lora:ics_a3_lora:0.7&gt;

Files with SHA256: 0b95f83fe85ea7f0e75c288f1c4ff1ebe99981b7599026a3124c051532dfdc5f