4th tail (anime/hentai)

You beloved tail~ Ready for a full NAI3 experience? (Actually even better) Full scale finetune of Pony Diffusion 6 with dataset of 1.8M anime pictures:: - Unmatched (in opensouse) knowledge missing in original pony and other models - (), few general styles - Thousands of simply by prompt - Full color palette, full brightness range (, ), great base aesthetics - No annoying watermarks like everywhere else - Unique angles, foreshortenings, fullbody-wideshots or extreeme closeups without any issues, pretty backgrounds as an added bonus - From cutest and lovely things to deepest and darkest fantasies - Best performance with tails concepts for your fox/cat/dog/dragon/... waifus/husbendos Well, this finetune has amount of training that is enough to make a base anime model. Despite it, existing knowledge (for anime) has not gone but only becomes better. Accurate approach especially for TE training and a lot of high quality natural text captions (about 600k, mainly made with Claude3 Opus/Claude3.5 Sonet) significantly improves prompt control and understanding. "Feels like a new base, not pony (c)". And yes, unlike the majority of PD-derriatives which is just a reskin or lobotomized merge, not a single lora was harmed merged. You can add your tweakers if needed, merge difference of other favourite checkpoint or whatever, it works just as a good pony-compatible base. v0.5.0 Changelog - A new training from PD-base with a large dataset using some new approaches with pretraining, main train, refining - Lot of new data - After some black magic in training, now you can get complete black or complete white pictures without breaking compatibility with existing tools, loras, etc. Actually very interesting experience example - Better and more stable base styles, less "burning" for artists - Fixes, improvements, ... (Dataset cut-off - beginning of July, requests after it is pending and not forgotten) Features and prompting: Well, first of all - TE knows a lot. It will try to make whatever you prompt without ignorance like you may use to. No guide-rails, no safeguards, no lobotomy. Shit it - shit out. Scizo-prompts from mixes where you have to boost tag weights and add extra ones to get at least some response (something like (sunny day, rainbow, ethereal hair, transparent skin, huge breasts:1.9)) will not work. You will get something insane, creepy or unexpected. At the same time, if you just copy tags from booru picture without manipulations mentioned above, or describe it normaly with combination of tags and natural text - most likely it will be great in very wide range. Stick to original booru tags to get best results. Deepest and darkest fantasies may require some rolling, popular things are very stable. Basic: Same as for all SDXL, ~1 megapixel for txt2img, any AR with resolution multiple of 64 (1024x1024, 1152x, 1216x832,...). Euler_a and CFG 4..9 (6-7 is best). Highresfix: anyGAN/DAT, x1.5-1.6, denoise 0.5, upscale works best with single tile resolution no more then 3mpx. Highres fix and further upscale will significantly improve quality, details, eyes, hands, feet, etc. - Set Emphasis: No norm in settings of your generation tool if you getting strange blobs or distortion. - If LCM/PCM accelerators applied - use Euler/Euler a samplers, DDIM gives a lot of mess and abominations. - Clip Skip 1 unless you are using loras that have problems with it. Quality classification: Only 4 quality tags: masterpiece, best quality, for positive low quality, worst quality for negative. Avoid using score_x, source_x, ... etc like in original pony. In most cases they just make things worse, add noise and mess, brake bodies, fingers, change styles and bring back urine yellow-green filter. They just make things worse, add noise and mess, brake bodies, fingers, change styles and bring back urine yellow-green filter. Originally that was definitely not the best implementation of quality tagging including some training flaws and requiring tons of tokens. It became clear that it's better to introduce new tags instead of fixing original. At this point they only bring old triggers without serious improvements. Negative prompt: (worst quality, low quality:1.1), error, bad hands, watermark, distorted correct according to your preferences. Do not put tags like greyscale, monochrome, yellow background in negative. You will just get burned images, no need to fix washed colors or "yellow filter" here like you may use to. 3d in negatives is also a bad choose in most cases. To improve backgrounds, add to negative simple background, blurry background, abstract background but do not forget to remove it if you are prompting something with simple. Artist styles: Used with "by ", multiple gives very interesting results, can be controlled with prompt weights. by ARTISTNAME1, [by ARTISTNAME2, (by ARTISTNAME3:0.8),...] or/and [by ARTISTNAME1|by ARTISTNAME2|by ARTISTNAME3|...] Works best in the very beginning of prompt. Can be used as a (beware, there is a flaw in sd-dynamic-prompts extension that sometimes wrecks up results when used with batch size more then 1). For majority highresfix/upscale improves quality a lot. General styles: 2.5d, bold line, smooth shading, flat colors, minimalistic, cgi, digital painting, ink style, oil style, pastel style can be used in combinations (with artists too), with weights, both in positive and negative prompts. Characters: Use full name tag same like on boorus and proper formatting, like "karin_(blue_archive)" -> "karin \(blue_archive\)", use skin tags for better reproducing, like "karin \(bunny \(blue_archive\)". might be very usefull. Most characters are known by the name, but it will be better if you prompt their main features, like: karin \(blue_archive\), karin \(bunny \(blue_archive\), dark-skinned female, purple halo, ponytail, yellow eyes, playboy bunny, fishnet pantyhose, gloves Natural text: Use it in combination with booru tags, works grea