16 lines
1.2 KiB
Plaintext
16 lines
1.2 KiB
Plaintext
|
o
|
|||
|
|
oO<6F>d<EFBFBD> <00> @ s d dl Z dd<03> ZdS )<04> Nc C s t <00><01> } d| _d| _d| _d| _d| _t <00><01> | _}d|_d|_ t <00><01> | _
|
|||
|
|
}d|_d|_ d |_ d |_
d
|
|||
|
|
|_d |_d |_d
|_d|_d|_d|_d|_d|_d|_d
|
|||
|
|
|_t <00><01> | _}d|_d|_d|_ d|_ d|_ d| _ i | _ d| _ t <00><01> | _!d| j!_"d| j!_#| S )N<>* <00>logs<67>d <00>fp16Tz runwayml/stable-diffusion-v1-5<>main<69> Fg-C <1C><>6?g<><67><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>?g+<2B><16><><EFBFBD><EFBFBD>?g{<14>G<EFBFBD>z<EFBFBD>?g:<3A>0<EFBFBD><30>yE>g <00>?<3F>
|
|||
|
|
<00> g @<40> <00>imagenet_animals<6C>jpeg_compressibility<74><79> <00> )$<24>ml_collections<6E>
|
|||
|
|
ConfigDict<EFBFBD>seed<65>logdir<69>
|
|||
|
|
num_epochs<EFBFBD>mixed_precision<6F>
|
|||
|
|
allow_tf32<EFBFBD>
|
|||
|
|
pretrained<EFBFBD>model<65>revision<6F>train<69>
|
|||
|
|
batch_size<EFBFBD>
use_8bit_adam<61>scale_lr<6C>
learning_rate<74>
|
|||
|
|
adam_beta1<EFBFBD>
|
|||
|
|
adam_beta2<EFBFBD>adam_weight_decay<61> adam_epsilon<6F>gradient_accumulation_steps<70>
max_grad_norm<72>num_inner_epochs<68>cfg<66> adv_clip_max<61>
|
|||
|
|
clip_range<EFBFBD>sample<6C> num_steps<70>eta<74>guidance_scale<6C>num_batches_per_epoch<63> prompt_fn<66>prompt_fn_kwargs<67> reward_fn<66>per_prompt_stat_tracking<6E> buffer_size<7A> min_count)<04>configr r r( <00> r4 <00>config/base.py<70>
|
|||
|
|
get_config sL
|
|||
|
|
r6 )r r6 r4 r4 r4 r5 <00><module> s
|