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Back to SD 2.1 Joint

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Execution Artifacts

2
run.sh

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Raw Artifacts

Parameters

55

Simple Parameters

seed
42
tracker
wandb
use_ema
false
gpu_type
rtx_4090:1
norm_max
1
norm_min
-1
run_name
joint-dehaze-depth-vkitti
xformers
true
8bit_adam
true
data_kind
vkitti2
ema_decay
0.9999
log_every
50
max_depth
300
min_depth
0.00001
venv_path
/cluster/work/igp_psr/drothenpiele/venv/dehaze-sd2
adam_beta1
0.9
adam_beta2
0.999
batch_size
1
clear_root
/cluster/work/igp_psr/drothenpiele/data/vkitti_2.0.3_rgb.zip
depth_root
/cluster/work/igp_psr/drothenpiele/data/vkitti_2.0.3_depth.zip
num_epochs
200
output_dir
/cluster/scratch/drothenpiele/SD21/exp_1
time_limit
2-00:00:00
image_width
1242
mem_per_cpu
8G
num_workers
4
tmp_storage
10G
adam_epsilon
1e-8
conditioning
concat
image_height
375
lambda_depth
1
project_name
joint-dehazing
warmup_ratio
0.05
weight_decay
0.01
cpus_per_task
8
lambda_dehaze
1
learning_rate
0.00001
max_grad_norm
1
val_hazy_root
/cluster/work/igp_psr/drothenpiele/data/out/VKITTI_ONLY_06/VKITTI_ONLY_06.zip
freeze_encoder
false
num_log_images
4
val_batch_size
1
euler_train_dir
/cluster/work/igp_psr/drothenpiele/data/out/train/sd21-joint
mixed_precision
fp16
prediction_type
v_prediction
train_hazy_root
/cluster/work/igp_psr/drothenpiele/data/out/VKITTI_NO_06/VKITTI_NO_06.zip
min_max_quantile
0.02
pretrained_model
sd2-community/stable-diffusion-2-1
val_every_n_epochs
10
num_inference_steps
25
save_every_n_epochs
10
encoder_learning_rate
0.000005
gradient_checkpointing
true
keep_last_n_checkpoints
3
gradient_accumulation_steps
4
Raw JSON
{
  "seed": 42,
  "tracker": "wandb",
  "use_ema": "false",
  "gpu_type": "rtx_4090:1",
  "norm_max": 1,
  "norm_min": -1,
  "run_name": "joint-dehaze-depth-vkitti",
  "xformers": "true",
  "8bit_adam": "true",
  "data_kind": "vkitti2",
  "...

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