TL;DR; tiny FP8 model with quality of FP32; merges allowed (please mention this model); improved single pass eyes and fingers correctness; optimized combination of sharpness and realism of CinEro Illustrious V2 with cinematic style and creativity; precise details and cinematic look; light particles.Note: Tested in A1111 and ComfyUI. For A1111 I recommend to turn off the "--xformers" as it didn't work with latest PyTorch.<h3 id="hey-guys-and-gals!-56452so7c">Hey guys and gals!</h3>No EA AGAIN 👇Thank you SO MUCH for support on V2 and V3. I've nearly 10k of BUZZ on training with <a target="_blank" rel="ugc" href="https://civarchive.com/collections/8192357">new datasets</a>. Some of expanses were compensated by the donation from kind supporters (MANY THANKS AGAIN!!). Some of expenses wasn't recovered.This is why I need to shyly encourage you to post images (bad and good are welcome), tell your friends about my creations, leave a feedback. That's the only thing fueling my progress.Just 150+ postings will compensate training costs at CivitAI. You can also collect this model or interact with my images. This is just a TIME for you but IS A GOLD to me.I don't ask you to donate YELLOW BUZZ, but will be very glad if you spare some. No matter what, all my BUZZ will be spent inside CivitAI on training new models.[DISCLOSURE] I am using the <a target="_blank" rel="ugc" href="https://civarchive.com/models/1264461?modelVersionId=1425969">Post-Maker (3-pass workflow)</a> to produce HQ images using only the released model. You can download it and modify the Steps or resolutions. Steps 30 for 1st pass and 8-10 steps for 2nd and 3rd passes are enough to produce good results 90% of tries. 3rd pass is not so important.

CinEro Illustrious V4

FP16 Unet + BF16 CLIPProbably more stable and better for merging.Please mention this model to track the inheritance.

Files with SHA256: c074cd853951b39049eb0c68fbdda062289a37ec708a4e392ac65ecf1eee4810