zatochu commited on
Commit
e8b6408
·
verified ·
1 Parent(s): 045f4ca

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -3
README.md CHANGED
@@ -4,12 +4,11 @@ This model is give or take capable of the same content as NoobAI-XL 1.0, which c
4
 
5
  [November 11th, 2024]
6
 
7
- EasyFluffXLVpredIter more experimental checkpoint that utliizes NoobAI-XL's 0.5 V-Prediction checkpoint to convert the model to Vpred, which brings some advantages ranging from better colors and better prompt following. It also merges in Itercomp. I have not thoroughly tested but do notice improvements compared to without.
8
- I will try to upload the versions without Itercomp later, so there will be more options available and users can judge which one suits their preferences better.
9
  Epsilon-prediction checkpoints are a WIP as it's hard to bring parity in performance between the two.
10
  LoRas trained on Noob 1.0 should still work adequately on this merge. If training a LoRA, I still reccomend training directly on NoobAI-XL 1.0 or NoobAI-XL 0.5 V-Prediction.
11
 
12
- Generally safe settings are 3-4 CFG, Euler A, and Beta sheduler.
13
 
14
  I reccomend using an up-to-date Forge/ReForge as they automatically detect the "WithKey" version as V-Prediction/ZSNR. Forge currently doesn't have RescaleCFG extension built in, but ReForge does. However I have included a backport of RescaleCFG for Forge in this repo that may work unless the code has changed since creating it. Extract it into extensions-builtin.
15
  Alternatively I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.
 
4
 
5
  [November 11th, 2024]
6
 
7
+ EasyFluffXLVpred/Iter is a more experimental checkpoint that utliizes NoobAI-XL's 0.5 V-Prediction checkpoint to convert the model to Vpred, which brings some advantages ranging from better colors and better prompt following. It also merges in Itercomp for the Iter version. I have not thoroughly tested but do notice improvements compared to without.
 
8
  Epsilon-prediction checkpoints are a WIP as it's hard to bring parity in performance between the two.
9
  LoRas trained on Noob 1.0 should still work adequately on this merge. If training a LoRA, I still reccomend training directly on NoobAI-XL 1.0 or NoobAI-XL 0.5 V-Prediction.
10
 
11
+ Generally safe settings are 3-6 CFG, Euler A, and Beta sheduler.
12
 
13
  I reccomend using an up-to-date Forge/ReForge as they automatically detect the "WithKey" version as V-Prediction/ZSNR. Forge currently doesn't have RescaleCFG extension built in, but ReForge does. However I have included a backport of RescaleCFG for Forge in this repo that may work unless the code has changed since creating it. Extract it into extensions-builtin.
14
  Alternatively I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.