This is an EQ adapted unet, that learned to denoise
clean
latent representations, as opposed to noised default SDXL VAE representation.
This
halves
loss in training. Yep.
In my tests it also improves convergence, and makes model more trainable, or so it seems at the very least.
Additionally, this alleviates some of the issues of Noob11 base, like overly bright images.
Some more graphs for more technical people:
Runs of Anzhc Noobai11-EQ on huggingface.co
148
Total runs
2
24-hour runs
0
3-day runs
15
7-day runs
76
30-day runs
More Information About Noobai11-EQ huggingface.co Model
Noobai11-EQ huggingface.co is an AI model on huggingface.co that provides Noobai11-EQ's model effect (), which can be used instantly with this Anzhc Noobai11-EQ model. huggingface.co supports a free trial of the Noobai11-EQ model, and also provides paid use of the Noobai11-EQ. Support call Noobai11-EQ model through api, including Node.js, Python, http.
Noobai11-EQ huggingface.co is an online trial and call api platform, which integrates Noobai11-EQ's modeling effects, including api services, and provides a free online trial of Noobai11-EQ, you can try Noobai11-EQ online for free by clicking the link below.
Anzhc Noobai11-EQ online free url in huggingface.co:
Noobai11-EQ is an open source model from GitHub that offers a free installation service, and any user can find Noobai11-EQ on GitHub to install. At the same time, huggingface.co provides the effect of Noobai11-EQ install, users can directly use Noobai11-EQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.