1xSkinContrast-HighAlternative-SuperUltraCompact

A 1x model designed for skin contrast (although some backgrounds suffer a little modification), also try the other SkinContrast models

A 1x model designed for skin contrast (although some backgrounds suffer a little modification), also try the other SkinContrast models

This is a model for the restoration of My Little Pony: Friendship is Magic, however it also works decently well on all similar art. It was trained in 2x on ground truth 3840x2160 HRs and 1920x1080 LRs of varying compression, so it is able to upscale from 1080p to 2160p, where its detail retention is great, however it may create noticeable artifacting if looked at closely, like areas of randomly coloured pixels along edges. In 1x or 1.5x (2x upscaled and then downscaled back down) it performs extremely well, almost perfectly in fact, in correcting colours, removing compression, and crisping up lines - and this is the way the model is intended to be used (hence the acronym of its name being "SS", or "supersampling"). **Github Release** **Showcase:** https://slow.pics/s/1ixqCSjy

A 1x model for Map Generation - normal maps. Generating normal maps from textures Pretrained model: 1x_DIV2K-Lite_450k.pth

A 1x model for Map Generation - Normal Maps. This model generates "Franken Maps" (named after Frankenstein), which is a custom material map combination I made. Basically, the Red channel of RGB is just the texture converted to grayscale, the Green channel is the roughness map, and the Blue channel is the displacement map. I had to do this to get around the current limitation of CX loss where it requires a 3 channel output (otherwise I would have just made a 2 channel model, or separate single channel models). As of right now the channels need to be manually split from each other but I will be making a tool for doing this automatically in the coming days.

This is part of a larger model set, PBRify_Remix. PBRify_Remix is an easy way to upscale and generate PBR textures using existing low quality textures. The dataset consists of ethically sourced textures from websites like ambientCG and Polyhaven, which sets it apart from most other models. It's intended for use with RTX Remix (hence the name) but it'll work for other things as well. Note: The height map model is best used after applying a "delighting" pipeline to your game textures. Currently PBRify_Remix does not have a method for this, so you need your own.

This is part of a larger model set, PBRify_Remix. PBRify_Remix is an easy way to upscale and generate PBR textures using existing low quality textures. The dataset consists of ethically sourced textures from websites like ambientCG and Polyhaven, which sets it apart from most other models. It's intended for use with RTX Remix (hence the name) but it'll work for other things as well.

This is part of a larger model set, PBRify_Remix. PBRify_Remix is an easy way to upscale and generate PBR textures using existing low quality textures. The dataset consists of ethically sourced textures from websites like ambientCG and Polyhaven, which sets it apart from most other models. It's intended for use with RTX Remix (hence the name) but it'll work for other things as well.

Removes banding, blocking, dithering, aliasing, noise and color tint on DDS Compressed Skin Diffuse Textures. This should work extremely well on most modern DDS compression types. The training set was compressed with BC3/DXT5, BC3/DXT5 Fast, BC2/DXT3, BC2/DXT3 Fast, and a small number of JPEG compressed images to cover outliers. This model is trained to remove the slight green color tint that DDS compression tends to add to skin textures, so the model output will not match the original color tone of the input image. This is the desired result though, as DDS compression shifts the colors to a sickly green tint and this model corrects that to more natural color tones. The training set included faces, body parts, eyes, mouths and hair in a variety of skin types and tones so it should work well on most related diffuse textures. However it's not just limited to skin, many other images and textures can be cleaned with this model. Designed to be used as a first step cleaning pass before applying additional models after. Check out the other ITF Models.

Skilled in working with cats, hair, parties, and creating clear images. Also proficient in resizing photos and enlarging large, sharp images. Can effectively improve images from small sizes as well (300px at smallest on one side, depending on the subject). Experienced in experimenting with techniques like upscaling with this model twice and then reducing it by 50% to enhance details, especially in features like hair or animals.

Incomplete lite model to remove ROQ compression

A 1x model for artifact. This model attempts to make films upscaled to 4K with Topaz Gaia-HQ look more natural and filmic. It sharpens, adds film grain, and smooths out small artefacts from the upscaling process. I recommend adding a tiny amount of grain to the input to seed the model (you can do this in VEAI), otherwise the film grain will remain static across frames that don't move much. Pretrain model used with permission to relicense from Twittman.

Takes composite/RF/VHS NES footage and attempts to restore it to RGB quality. Assumes footage has been properly deinterlaced via field duplication from 240p to 480p. Note that: * All footage was captured in 240p/480p NTSC. * RGB footage was captured via an AV Famicom with the RGB Blaster via the Retrotink 2x. * The model was trained exclusively on individual frames, so it can't fix things like dropouts. * The even and odd fields of NES composite tend to be a bit...different from each other, so there will be some jitter at 60fps. * I don't have access to an NES Toploader, so I wouldn't expect it to fix the jailbars very well.

A 1x model for Texturizing. Tries to reverse heavy h264 compression. Fails. Can be used to texturize images though.

This model decompresses images and video compressed using RoQ. Config and presets will be added when Mega decides to let me use their site!

A 1x model for Anti aliasing / Deblur. To eliminate aliasing and general artifacts caused by not enough resolution while bringing out details Im stopping its training here because it's getting worse, i think of some aligment issues by game's rendering pipeline + downscaling...