From 59c0a922383f232dc80c9a6db6fcaa0dc54a6c5e Mon Sep 17 00:00:00 2001 From: rohitanshu <85547195+iamrohitanshu@users.noreply.github.com> Date: Sun, 28 Jan 2024 14:06:05 +0530 Subject: [PATCH] Update train_slider.example.yml Fixed minor typos. --- config/examples/train_slider.example.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/config/examples/train_slider.example.yml b/config/examples/train_slider.example.yml index b3600917..ac6d6231 100644 --- a/config/examples/train_slider.example.yml +++ b/config/examples/train_slider.example.yml @@ -49,7 +49,7 @@ config: optimizer: "adamw" # only constant for now lr_scheduler: "constant" - # we randomly denoise random num of steps form 1 to this number + # we randomly denoise random num of steps from 1 to this number # while training. Just leave it max_denoising_steps: 40 # works great at 1. I do 1 even with my 4090. @@ -72,7 +72,7 @@ config: is_v2: false # for v2 models is_v_pred: false # for v-prediction models (most v2 models) # has some issues with the dual text encoder and the way we train sliders - # it works bit weights need to probably be higher to see it. + # it works, but weights need to probably be higher to see it. is_xl: false # for SDXL models # saving config @@ -101,7 +101,7 @@ config: # --n [string] # negative prompt, will inherit sample.neg if not set # Only 75 tokens allowed currently # I like to do a wide positive and negative spread so I can see a good range and stop - # early if the network is braking down + # early if the network is breaking down prompts: - "a woman in a coffee shop, black hat, blonde hair, blue jacket --m -5" - "a woman in a coffee shop, black hat, blonde hair, blue jacket --m -3" @@ -136,7 +136,7 @@ config: logging: log_every: 10 # log every this many steps use_wandb: false # not supported yet - verbose: false # probably done need unless you are debugging + verbose: false # probably not needed, unless you are debugging # slider training config, best for last slider: