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Wow guys, you have to try this for yourself! 😲😲
Super fast generations at "normal" XL resolutions with much better quality than base SDXL Turbo!
Suggested settings for best output
Sampler: DPM++ SDE or DPM++ SDE Karras
Steps: 3 - 5
CFG: 1 - 2.25
You can run this model in Automatic1111 like a normal XL model, however not all samplers work with it. I've found DPM++ SDE is the best output performance in the 3 - 5 range, while DPM2 looks really good in the 6 - 10 step range if you're willing to wait just a bit longer. The LCM sampler and Euler A produce almost identical output, which is usable at low steps, but really lacking in detail vs. the other options.
LoRAs work fine, I've tested multiple LoRAs and they appear to still produce expected results, tho YMMV of course.
Coherence is a work in progress with this model. 1024 x 1024 is pretty well solved now, and I very rarely see errors even in 4:3 and 2:3 formats. 16:9 does result in some twinning, but it's not too bad. 21:9 is rougher with an annoying amount of twinning and errors, though not too much worse than normal mainline models.
NOTE ON LICENSING - This model is based on the SDXL Turbo model released by Stability AI. They have flagged the model as being released under a non-commercial research license and permits personal, non-commercial use only. Be aware this model cannot be used for image generation services at this time. If you have questions, please reach out to me on Discord.
Description
TurboVisionXL V3.2 Public Release Notes
I continue to work on improving coherence across wide aspect ratios, getting limbs and hands and faces under control and improving overall image quality at low shot (3 - 5 step) values. For this update I worked in several of my art tunings along with working in some of the latest NightVision training. The model is really starting to develop its own style and feel now.
Change Log 12/8/23
NightVision 7.9.1 tunings added for better photographic output
addition of several of my internal art tunings that help bring out some extra detail and creativeness for regular generations
Known Issues
Widescreen coherence (16:9, 21:9) continue to be a weak spot for this model. Expect coherence errors and twinning on widescreen output.
fingers and hands are still worse than my mainline models, but improving version over version
faces at a distance can be mushy