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turbovisionxl

turbovisionxl

6 stars
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TurboVisionXL - Super Fast XL based on new SDXL Turbo - 3 - 5 step quality output at high resolutions!

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.

TurboVisionXL - Super Fast XL based on new SDXL Turbo - 3 - 5 step quality output at high resolutions!

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.

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About
TurboVisionXL
Created January 2024
sparks/turbovisionxl
Popularity
6 stars
1.3K runs
0 pulls
Maintainers
sparks