In this photorealistic XL-Pony-Illustrious hybrid model I tried to adopt multiple features, styles and concepts from other resources I used internally. It was trained on a big dataset of carefully selected SFW and NSFW images of different themes. Due to multistage training and additional tuning some PONY and ILL concepts might be washed out. Let me know if something is missing - I will try to bring them back.v0.5 1280pxRecommendation for CivitAI Image Generator: start with Euler or Euler A (DPM++ samplers are too contrast for the first run); then use HiRes Fix mode and DPM++ 2M Karras sampler (if you get too contrast image, then try Euler A for HiRes Fix); see my samples made with CivitAI Gen.This version is trained in high resolution and uses big number of steps. For speed, apply DMD2 4steps CFG 1.0 of DMD2 8steps CFG 1.5 LORA.You can render from scratch at resolution of 1440px by longest side and then use ADetailer or HighRes Fix at resolutions of up to 4 MPx.Use Euler A for Text-ti-Image render - this will produce smooth textures.Use other contrast samplers with higher CFG to refine the textures.Ultimate SD Upscale in ComfyUI with tile size of 1216 is a recommended way to produce the high quality images.If you want to render images with only the Text-to-Image aproach then please give this version more steps. Also, you can post undercooked images if you need my assistance. I will try to help you with better render parameters.FEEDBACK appreciated!PS: eyes may be unstable for characters at the distance; I'm working on fixing it asap.v0.3 params for CivitAI generator<a target="_blank" rel="ugc" href="https://civarchive.com/posts/27865267">https://civarchive.com/posts/27865267</a>I hope you will engoy using this. And I hope you will convert your pleasure into BUZZ donation ;) because I need more fuel to continue my work on training dataset improvements.🥰 THANKS for attention, posts and comments! 🥰

FallenLeaf - NSFW - XL-Pony-Ill

This version trained in two dimensions (1024px + 1280px). You can try rendering Text-to-Image with 1280px or even 1440px by longest side. Dataset contains mostly Landscape and Portrait images with 4:3 and 16:9 aspects. Image-to-Image render tested at 4 MPx resolution. Start experimenting with 1216x1440 or 1440x1216.

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