Hyphoria

I have created some articles comparing v0.01 to v0.02 so it is easier to see the improvements and changes I have made (one for PG and one for everything else):https://civitai.red/articles/29602/pg-comparing-hyphoria-v001-vs-v002https://civitai.red/articles/29604/xxx-comparing-hyphoria-v001-vs-v002The long awaited new version of Hyphoria is here, after almost a year of waiting, I present v1 v0.02!When I made the first version I was unsure of its quality or if it would even be worth using, but you all really have seemed to enjoy using it and doing things well beyond what I would have imagined with it. I'm glad everyone has loved it but that also made it hard to come up with something to improve, there were always things to improve but with merging and even training it isn't easy to make something that is a categorical improvement at least on my limited budget and available time.So after experimenting with other models (my real version on Illustrious and my Qwen Image model) I learned a ton and over the last half year I experimented and tried to find something that I liked and felt like an improvement while not being a step down in most ways. I wanted it to feel like the same model but better and that is where v0.02 came to be.It has much better contrast compared to v0.01, which was washed out especially when you did img2img or hires. The background details often were non-sense or didn't resolve to anything useful, v0.02 in a lot of ways improves on that but can still be nonsense but that is SDXL/Illu for you.The other major area of improvement was around higher resolution stability being able to reliably generate at 1.5 megapixels with little to no anatomy issues (at least compared to v0.01) and that translates to better stability when doing hires passes on images. In my testing I rarely see anatomy issues like extra body parts even after multiple hires passes (but the denoise and resolution settings you choose will affect that obviously). It should be noted that ultra wide resolutions or high resolution wide aspect ratio generations can have issues with duplication or anatomy warping (e.g. subject laying horizontally) for both versions, portrait aspect ratios are more stable and support higher resolution without issues in v0.02.v0.02 Recommended SettingsSteps: 20-35CFG: 3 (2.5-6)Sampler: Euler a OR DPM++ 2M (Should be stable on most)Scheduler: Should be stable on mostResolution: 1mp to 1.5mpPrompting: Less is more, I often don't even use quality tags outside of worst quality in the negatives. Quality tags can lead to a glossier and less flexible result, but sometimes more attractive poses and lighting, experiment.v0.01 Recommended SettingsSteps: 20-35CFG: 3 (2.5-6)Sampler: DPM++ 2M SDE (or DPM++ 2M on CIVITAI Gen)Scheduler: KarrasResolution: I recommend 1024x1024 - 1280x1280 for normal generation. Supports up to 1536x1536 without breaking, but can suffer some body extension. Any aspect ratio that equals the same number of pixels should work.Prompting: This model listens to your prompts, like really listens, so avoid the fluff and keep your prompts focused.Recommended Positive: masterpiece, best quality, absurdresRecommended Negative: worst quality, low qualityYou can often omit pos or neg quality tags depending on what you're trying to make, grungy images for instance will want to pull out some of those quality tags. Some of the other quality tags do work if you want those types of images.License & UseSDXL - CreativeML Open RAIL++-MIllustrious - https://freedevproject.org/faipl-1.0-sd/NoobAI-XL - https://civitai.com/models/license/1140829Copied the above license list from Plant Milk's page.