First successfully trained custom variant of PlayGround V2 Use the training version above in Kohya and it should work for you. But I suggest merging the trained data with the original PlaygroundV2 model, as this model is not pure PG. <a target="_blank" rel="ugc" href="https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic/blob/main/LICENSE.md">https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic/blob/main/LICENSE.md</a> Recommended to use DPM SDE Karras/Exponential, 50 steps and a CFG of 3. But you can try lower step counts and experiment with CFG and other things. I have tested 4-8 steps and had some success even. I like to use with a denoise of 0.88 on the Sampler. A few caveats. It functions in place of an SDXL model, however it does not share compatibility directly with LoRA etc. As far as I have tested. They seem to effect the model differently than intended due to the nature of this model having been trained completely from scratch. I personally think that this model is going to become the new base model for community work, going forwards, as it is a million times more flexible to train and already higher detail than many custom SDXL models. Also this is technically an alpha release on my part and doesn't necessarily reflect the full degree of outputs the model is capable of.

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