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Update train_slider.example.yml #25

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Update train_slider.example.yml #25

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8 changes: 4 additions & 4 deletions config/examples/train_slider.example.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -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.
Expand All @@ -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
Expand Down Expand Up @@ -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"
Expand Down Expand Up @@ -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:
Expand Down