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Browse files- .gitattributes +2 -0
- sd35m_d2c_breif/checkpoints/epoch_100_step_302601.pth.pth +3 -0
- sd35m_d2c_breif/config.yaml +221 -0
- sd35m_d2c_breif/metric_helper/epoch_100_step_302601.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_10_step_30261.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_15_step_45391.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_20_step_60521.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_25_step_75651.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_30_step_90781.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_35_step_105911.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_40_step_121041.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_45_step_136171.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_50_step_151301.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_55_step_166431.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_5_step_15131.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_60_step_181561.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_65_step_196691.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_70_step_211821.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_75_step_226951.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_80_step_242081.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_85_step_257211.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_90_step_272341.pth.txt +2 -0
- sd35m_d2c_breif/metric_helper/epoch_95_step_287471.pth.txt +2 -0
- sd35m_d2c_breif/train_log.log +3 -0
- sd35m_p2p_breif/checkpoints/epoch_100_step_302601.pth +3 -0
- sd35m_p2p_breif/checkpoints/latest.pth +3 -0
- sd35m_p2p_breif/config.yaml +221 -0
- sd35m_p2p_breif/metric_helper/epoch_100_step_302601.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_10_step_30261.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_15_step_45391.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_20_step_60521.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_25_step_75651.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_30_step_90781.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_35_step_105911.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_40_step_121041.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_45_step_136171.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_50_step_151301.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_55_step_166431.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_5_step_15131.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_60_step_181561.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_65_step_196691.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_70_step_211821.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_75_step_226951.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_80_step_242081.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_85_step_257211.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_90_step_272341.pth.txt +2 -0
- sd35m_p2p_breif/metric_helper/epoch_95_step_287471.pth.txt +2 -0
- sd35m_p2p_breif/train_log.log +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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sd35m_d2c_breif/train_log.log filter=lfs diff=lfs merge=lfs -text
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sd35m_p2p_breif/train_log.log filter=lfs diff=lfs merge=lfs -text
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sd35m_d2c_breif/checkpoints/epoch_100_step_302601.pth.pth
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version https://git-lfs.github.com/spec/v1
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size 13933690163
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sd35m_d2c_breif/config.yaml
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| 1 |
+
data:
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| 2 |
+
data_dir:
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| 3 |
+
- /home/work/shared-fi-datasets-01/users/hsiang.chen/Project/Datasets/IR
|
| 4 |
+
caption_proportion:
|
| 5 |
+
prompt: 1
|
| 6 |
+
external_caption_suffixes: []
|
| 7 |
+
external_clipscore_suffixes: []
|
| 8 |
+
clip_thr_temperature: 0.1
|
| 9 |
+
clip_thr: 25.0
|
| 10 |
+
del_img_clip_thr: 0.0
|
| 11 |
+
sort_dataset: false
|
| 12 |
+
load_text_feat: false
|
| 13 |
+
load_vae_feat: false
|
| 14 |
+
transform: default_train
|
| 15 |
+
type: IRImgDataset
|
| 16 |
+
image_size: 256
|
| 17 |
+
hq_only: false
|
| 18 |
+
valid_num: 0
|
| 19 |
+
data: null
|
| 20 |
+
extra: null
|
| 21 |
+
dset: train_brief
|
| 22 |
+
max_samples: null
|
| 23 |
+
model:
|
| 24 |
+
model: SD35M_D2C
|
| 25 |
+
model_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
|
| 26 |
+
shift: 3.0
|
| 27 |
+
teacher: null
|
| 28 |
+
input_channel: 16
|
| 29 |
+
image_size: 256
|
| 30 |
+
mixed_precision: bf16
|
| 31 |
+
fp32_attention: true
|
| 32 |
+
load_from: null
|
| 33 |
+
discriminator_model: null
|
| 34 |
+
teacher_model: null
|
| 35 |
+
teacher_model_weight_dtype: null
|
| 36 |
+
resume_from:
|
| 37 |
+
checkpoint: latest
|
| 38 |
+
load_ema: false
|
| 39 |
+
resume_optimizer: true
|
| 40 |
+
resume_lr_scheduler: true
|
| 41 |
+
aspect_ratio_type: ASPECT_RATIO_1024
|
| 42 |
+
multi_scale: false
|
| 43 |
+
pe_interpolation: 1.0
|
| 44 |
+
micro_condition: false
|
| 45 |
+
attn_type: linear
|
| 46 |
+
autocast_linear_attn: false
|
| 47 |
+
ffn_type: glumbconv
|
| 48 |
+
mlp_acts:
|
| 49 |
+
- silu
|
| 50 |
+
- silu
|
| 51 |
+
- null
|
| 52 |
+
mlp_ratio: 2.5
|
| 53 |
+
use_pe: false
|
| 54 |
+
pos_embed_type: sincos
|
| 55 |
+
qk_norm: false
|
| 56 |
+
class_dropout_prob: 0.1
|
| 57 |
+
linear_head_dim: 32
|
| 58 |
+
cross_norm: false
|
| 59 |
+
cross_attn_type: flash
|
| 60 |
+
logvar: false
|
| 61 |
+
cfg_scale: 4
|
| 62 |
+
cfg_embed: false
|
| 63 |
+
cfg_embed_scale: 1.0
|
| 64 |
+
guidance_type: classifier-free
|
| 65 |
+
pag_applied_layers:
|
| 66 |
+
- 8
|
| 67 |
+
ladd_multi_scale: true
|
| 68 |
+
head_block_ids: null
|
| 69 |
+
extra: null
|
| 70 |
+
vae:
|
| 71 |
+
vae_type: SDVAE
|
| 72 |
+
vae_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
|
| 73 |
+
weight_dtype: float32
|
| 74 |
+
scale_factor: 0.41407
|
| 75 |
+
vae_latent_dim: 16
|
| 76 |
+
vae_downsample_rate: 8
|
| 77 |
+
sample_posterior: true
|
| 78 |
+
extra: null
|
| 79 |
+
text_encoder:
|
| 80 |
+
text_encoder_name: sd35-text
|
| 81 |
+
text_encoder_pretrained: ./checkpoints/stable-diffusion-3.5-medium/text_encoders
|
| 82 |
+
caption_channels: 4096
|
| 83 |
+
y_norm: true
|
| 84 |
+
y_norm_scale_factor: 0.01
|
| 85 |
+
model_max_length: 300
|
| 86 |
+
chi_prompt:
|
| 87 |
+
- a photo of a cat
|
| 88 |
+
- Convenience store entrance at night. On the glass door, a vinyl decal reads
|
| 89 |
+
'OPEN FOR QUALITY'. Inside, shelves and fluorescent lights; outside, a cyclist
|
| 90 |
+
passing by
|
| 91 |
+
- Sunrise beach, shallow tide washing over smooth sand. A piece of weathered driftwood
|
| 92 |
+
lies near the shoreline with a subtle branded text [SOS] on its surface; wet
|
| 93 |
+
sand reflections, micro-ripples, sun flare at horizon.
|
| 94 |
+
extra: null
|
| 95 |
+
scheduler:
|
| 96 |
+
train_sampling_steps: 1000
|
| 97 |
+
predict_flow_v: true
|
| 98 |
+
noise_schedule: linear_flow
|
| 99 |
+
pred_sigma: false
|
| 100 |
+
learn_sigma: true
|
| 101 |
+
vis_sampler: flow_dpm-solver
|
| 102 |
+
flow_shift: 3.0
|
| 103 |
+
weighting_scheme: logit_normal
|
| 104 |
+
weighting_scheme_discriminator: logit_normal_trigflow
|
| 105 |
+
add_noise_timesteps:
|
| 106 |
+
- 1.5708
|
| 107 |
+
logit_mean: 0.0
|
| 108 |
+
logit_std: 1.0
|
| 109 |
+
logit_mean_discriminator: 0.0
|
| 110 |
+
logit_std_discriminator: 1.0
|
| 111 |
+
sigma_data: 0.5
|
| 112 |
+
timestep_norm_scale_factor: 1.0
|
| 113 |
+
extra: null
|
| 114 |
+
train:
|
| 115 |
+
num_workers: 10
|
| 116 |
+
seed: 1229
|
| 117 |
+
train_batch_size: 4
|
| 118 |
+
num_epochs: 100
|
| 119 |
+
gradient_accumulation_steps: 8
|
| 120 |
+
grad_checkpointing: true
|
| 121 |
+
gradient_clip: 0.1
|
| 122 |
+
gc_step: 1
|
| 123 |
+
optimizer:
|
| 124 |
+
betas:
|
| 125 |
+
- 0.9
|
| 126 |
+
- 0.999
|
| 127 |
+
- 0.9999
|
| 128 |
+
eps:
|
| 129 |
+
- 1.0e-30
|
| 130 |
+
- 1.0e-16
|
| 131 |
+
lr: 5.0e-05
|
| 132 |
+
type: CAMEWrapper
|
| 133 |
+
weight_decay: 0.0
|
| 134 |
+
optimizer_D:
|
| 135 |
+
eps: 1.0e-10
|
| 136 |
+
lr: 0.0001
|
| 137 |
+
type: AdamW
|
| 138 |
+
weight_decay: 0.03
|
| 139 |
+
load_from_optimizer: false
|
| 140 |
+
load_from_lr_scheduler: false
|
| 141 |
+
resume_lr_scheduler: true
|
| 142 |
+
lr_schedule: cosine
|
| 143 |
+
lr_schedule_args:
|
| 144 |
+
num_warmup_steps: 2000
|
| 145 |
+
auto_lr:
|
| 146 |
+
rule: sqrt
|
| 147 |
+
eval_batch_size: 16
|
| 148 |
+
use_fsdp: false
|
| 149 |
+
use_flash_attn: false
|
| 150 |
+
eval_sampling_steps: 500
|
| 151 |
+
lora_rank: 4
|
| 152 |
+
log_interval: 1
|
| 153 |
+
mask_type: 'null'
|
| 154 |
+
mask_loss_coef: 0.0
|
| 155 |
+
load_mask_index: false
|
| 156 |
+
snr_loss: false
|
| 157 |
+
real_prompt_ratio: 1.0
|
| 158 |
+
early_stop_hours: 10000.0
|
| 159 |
+
save_image_epochs: 1
|
| 160 |
+
save_model_epochs: 5
|
| 161 |
+
save_model_steps: 500
|
| 162 |
+
visualize: true
|
| 163 |
+
null_embed_root: output/pretrained_models/
|
| 164 |
+
valid_prompt_embed_root: output/tmp_embed/
|
| 165 |
+
validation_prompts:
|
| 166 |
+
- dog
|
| 167 |
+
- portrait photo of a girl, photograph, highly detailed face, depth of field
|
| 168 |
+
- Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
|
| 169 |
+
- Astronaut in a jungle, cold color palette, muted colors, detailed, 8k
|
| 170 |
+
- A photo of beautiful mountain with realistic sunset and blue lake, highly detailed,
|
| 171 |
+
masterpiece
|
| 172 |
+
local_save_vis: true
|
| 173 |
+
deterministic_validation: true
|
| 174 |
+
online_metric: false
|
| 175 |
+
eval_metric_step: 2000
|
| 176 |
+
online_metric_dir: metric_helper
|
| 177 |
+
work_dir: output/sd35m_d2c
|
| 178 |
+
skip_step: 0
|
| 179 |
+
loss_type: huber
|
| 180 |
+
huber_c: 0.001
|
| 181 |
+
num_ddim_timesteps: 50
|
| 182 |
+
ema_decay: 0.95
|
| 183 |
+
debug_nan: false
|
| 184 |
+
ema_update: false
|
| 185 |
+
ema_rate: 0.9999
|
| 186 |
+
tangent_warmup_steps: 10000
|
| 187 |
+
scm_cfg_scale:
|
| 188 |
+
- 1.0
|
| 189 |
+
cfg_interval: null
|
| 190 |
+
scm_logvar_loss: true
|
| 191 |
+
norm_invariant_to_spatial_dim: true
|
| 192 |
+
norm_same_as_512_scale: false
|
| 193 |
+
g_norm_constant: 0.1
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
data:
|
| 2 |
+
data_dir:
|
| 3 |
+
- /home/work/shared-fi-datasets-01/users/hsiang.chen/Project/Datasets/IR
|
| 4 |
+
caption_proportion:
|
| 5 |
+
prompt: 1
|
| 6 |
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external_caption_suffixes: []
|
| 7 |
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external_clipscore_suffixes: []
|
| 8 |
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clip_thr_temperature: 0.1
|
| 9 |
+
clip_thr: 25.0
|
| 10 |
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del_img_clip_thr: 0.0
|
| 11 |
+
sort_dataset: false
|
| 12 |
+
load_text_feat: false
|
| 13 |
+
load_vae_feat: false
|
| 14 |
+
transform: default_train
|
| 15 |
+
type: IRImgDataset
|
| 16 |
+
image_size: 256
|
| 17 |
+
hq_only: false
|
| 18 |
+
valid_num: 0
|
| 19 |
+
data: null
|
| 20 |
+
extra: null
|
| 21 |
+
dset: train_brief
|
| 22 |
+
max_samples: null
|
| 23 |
+
model:
|
| 24 |
+
model: SD35M_P2P
|
| 25 |
+
model_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
|
| 26 |
+
shift: 3.0
|
| 27 |
+
teacher: null
|
| 28 |
+
input_channel: 16
|
| 29 |
+
image_size: 256
|
| 30 |
+
mixed_precision: bf16
|
| 31 |
+
fp32_attention: true
|
| 32 |
+
load_from: null
|
| 33 |
+
discriminator_model: null
|
| 34 |
+
teacher_model: null
|
| 35 |
+
teacher_model_weight_dtype: null
|
| 36 |
+
resume_from:
|
| 37 |
+
checkpoint: latest
|
| 38 |
+
load_ema: false
|
| 39 |
+
resume_optimizer: true
|
| 40 |
+
resume_lr_scheduler: true
|
| 41 |
+
aspect_ratio_type: ASPECT_RATIO_1024
|
| 42 |
+
multi_scale: false
|
| 43 |
+
pe_interpolation: 1.0
|
| 44 |
+
micro_condition: false
|
| 45 |
+
attn_type: linear
|
| 46 |
+
autocast_linear_attn: false
|
| 47 |
+
ffn_type: glumbconv
|
| 48 |
+
mlp_acts:
|
| 49 |
+
- silu
|
| 50 |
+
- silu
|
| 51 |
+
- null
|
| 52 |
+
mlp_ratio: 2.5
|
| 53 |
+
use_pe: false
|
| 54 |
+
pos_embed_type: sincos
|
| 55 |
+
qk_norm: false
|
| 56 |
+
class_dropout_prob: 0.1
|
| 57 |
+
linear_head_dim: 32
|
| 58 |
+
cross_norm: false
|
| 59 |
+
cross_attn_type: flash
|
| 60 |
+
logvar: false
|
| 61 |
+
cfg_scale: 4
|
| 62 |
+
cfg_embed: false
|
| 63 |
+
cfg_embed_scale: 1.0
|
| 64 |
+
guidance_type: classifier-free
|
| 65 |
+
pag_applied_layers:
|
| 66 |
+
- 8
|
| 67 |
+
ladd_multi_scale: true
|
| 68 |
+
head_block_ids: null
|
| 69 |
+
extra: null
|
| 70 |
+
vae:
|
| 71 |
+
vae_type: SDVAE
|
| 72 |
+
vae_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
|
| 73 |
+
weight_dtype: float32
|
| 74 |
+
scale_factor: 0.41407
|
| 75 |
+
vae_latent_dim: 16
|
| 76 |
+
vae_downsample_rate: 8
|
| 77 |
+
sample_posterior: true
|
| 78 |
+
extra: null
|
| 79 |
+
text_encoder:
|
| 80 |
+
text_encoder_name: sd35-text
|
| 81 |
+
text_encoder_pretrained: ./checkpoints/stable-diffusion-3.5-medium/text_encoders
|
| 82 |
+
caption_channels: 4096
|
| 83 |
+
y_norm: true
|
| 84 |
+
y_norm_scale_factor: 0.01
|
| 85 |
+
model_max_length: 300
|
| 86 |
+
chi_prompt:
|
| 87 |
+
- a photo of a cat
|
| 88 |
+
- Convenience store entrance at night. On the glass door, a vinyl decal reads
|
| 89 |
+
'OPEN FOR QUALITY'. Inside, shelves and fluorescent lights; outside, a cyclist
|
| 90 |
+
passing by
|
| 91 |
+
- Sunrise beach, shallow tide washing over smooth sand. A piece of weathered driftwood
|
| 92 |
+
lies near the shoreline with a subtle branded text [SOS] on its surface; wet
|
| 93 |
+
sand reflections, micro-ripples, sun flare at horizon.
|
| 94 |
+
extra: null
|
| 95 |
+
scheduler:
|
| 96 |
+
train_sampling_steps: 1000
|
| 97 |
+
predict_flow_v: true
|
| 98 |
+
noise_schedule: linear_flow
|
| 99 |
+
pred_sigma: false
|
| 100 |
+
learn_sigma: true
|
| 101 |
+
vis_sampler: flow_dpm-solver
|
| 102 |
+
flow_shift: 3.0
|
| 103 |
+
weighting_scheme: logit_normal
|
| 104 |
+
weighting_scheme_discriminator: logit_normal_trigflow
|
| 105 |
+
add_noise_timesteps:
|
| 106 |
+
- 1.5708
|
| 107 |
+
logit_mean: 0.0
|
| 108 |
+
logit_std: 1.0
|
| 109 |
+
logit_mean_discriminator: 0.0
|
| 110 |
+
logit_std_discriminator: 1.0
|
| 111 |
+
sigma_data: 0.5
|
| 112 |
+
timestep_norm_scale_factor: 1.0
|
| 113 |
+
extra: null
|
| 114 |
+
train:
|
| 115 |
+
num_workers: 10
|
| 116 |
+
seed: 1229
|
| 117 |
+
train_batch_size: 4
|
| 118 |
+
num_epochs: 100
|
| 119 |
+
gradient_accumulation_steps: 8
|
| 120 |
+
grad_checkpointing: true
|
| 121 |
+
gradient_clip: 0.1
|
| 122 |
+
gc_step: 1
|
| 123 |
+
optimizer:
|
| 124 |
+
betas:
|
| 125 |
+
- 0.9
|
| 126 |
+
- 0.999
|
| 127 |
+
- 0.9999
|
| 128 |
+
eps:
|
| 129 |
+
- 1.0e-30
|
| 130 |
+
- 1.0e-16
|
| 131 |
+
lr: 5.0e-05
|
| 132 |
+
type: CAMEWrapper
|
| 133 |
+
weight_decay: 0.0
|
| 134 |
+
optimizer_D:
|
| 135 |
+
eps: 1.0e-10
|
| 136 |
+
lr: 0.0001
|
| 137 |
+
type: AdamW
|
| 138 |
+
weight_decay: 0.03
|
| 139 |
+
load_from_optimizer: false
|
| 140 |
+
load_from_lr_scheduler: false
|
| 141 |
+
resume_lr_scheduler: true
|
| 142 |
+
lr_schedule: cosine
|
| 143 |
+
lr_schedule_args:
|
| 144 |
+
num_warmup_steps: 2000
|
| 145 |
+
auto_lr:
|
| 146 |
+
rule: sqrt
|
| 147 |
+
eval_batch_size: 16
|
| 148 |
+
use_fsdp: false
|
| 149 |
+
use_flash_attn: false
|
| 150 |
+
eval_sampling_steps: 500
|
| 151 |
+
lora_rank: 4
|
| 152 |
+
log_interval: 1
|
| 153 |
+
mask_type: 'null'
|
| 154 |
+
mask_loss_coef: 0.0
|
| 155 |
+
load_mask_index: false
|
| 156 |
+
snr_loss: false
|
| 157 |
+
real_prompt_ratio: 1.0
|
| 158 |
+
early_stop_hours: 10000.0
|
| 159 |
+
save_image_epochs: 1
|
| 160 |
+
save_model_epochs: 5
|
| 161 |
+
save_model_steps: 500
|
| 162 |
+
visualize: true
|
| 163 |
+
null_embed_root: output/pretrained_models/
|
| 164 |
+
valid_prompt_embed_root: output/tmp_embed/
|
| 165 |
+
validation_prompts:
|
| 166 |
+
- dog
|
| 167 |
+
- portrait photo of a girl, photograph, highly detailed face, depth of field
|
| 168 |
+
- Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
|
| 169 |
+
- Astronaut in a jungle, cold color palette, muted colors, detailed, 8k
|
| 170 |
+
- A photo of beautiful mountain with realistic sunset and blue lake, highly detailed,
|
| 171 |
+
masterpiece
|
| 172 |
+
local_save_vis: true
|
| 173 |
+
deterministic_validation: true
|
| 174 |
+
online_metric: false
|
| 175 |
+
eval_metric_step: 2000
|
| 176 |
+
online_metric_dir: metric_helper
|
| 177 |
+
work_dir: output/sd35m_p2p
|
| 178 |
+
skip_step: 0
|
| 179 |
+
loss_type: huber
|
| 180 |
+
huber_c: 0.001
|
| 181 |
+
num_ddim_timesteps: 50
|
| 182 |
+
ema_decay: 0.95
|
| 183 |
+
debug_nan: false
|
| 184 |
+
ema_update: false
|
| 185 |
+
ema_rate: 0.9999
|
| 186 |
+
tangent_warmup_steps: 10000
|
| 187 |
+
scm_cfg_scale:
|
| 188 |
+
- 1.0
|
| 189 |
+
cfg_interval: null
|
| 190 |
+
scm_logvar_loss: true
|
| 191 |
+
norm_invariant_to_spatial_dim: true
|
| 192 |
+
norm_same_as_512_scale: false
|
| 193 |
+
g_norm_constant: 0.1
|
| 194 |
+
g_norm_r: 1.0
|
| 195 |
+
show_gradient: false
|
| 196 |
+
lr_scale: null
|
| 197 |
+
adv_lambda: 1.0
|
| 198 |
+
scm_loss: true
|
| 199 |
+
scm_lambda: 1.0
|
| 200 |
+
loss_scale: 1.0
|
| 201 |
+
r1_penalty: false
|
| 202 |
+
r1_penalty_weight: 1.0e-05
|
| 203 |
+
diff_timesteps_D: true
|
| 204 |
+
suffix_checkpoints: disc
|
| 205 |
+
misaligned_pairs_D: false
|
| 206 |
+
discriminator_loss: cross entropy
|
| 207 |
+
largest_timestep: 1.5708
|
| 208 |
+
train_largest_timestep: false
|
| 209 |
+
largest_timestep_prob: 0.5
|
| 210 |
+
extra: null
|
| 211 |
+
controlnet: null
|
| 212 |
+
model_growth: null
|
| 213 |
+
work_dir: output/sd35m_p2p_breif
|
| 214 |
+
resume_from: latest
|
| 215 |
+
load_from: null
|
| 216 |
+
debug: true
|
| 217 |
+
caching: false
|
| 218 |
+
report_to: tensorboard
|
| 219 |
+
tracker_project_name: sana-baseline
|
| 220 |
+
name: tmp
|
| 221 |
+
loss_report_name: loss
|
sd35m_p2p_breif/metric_helper/epoch_100_step_302601.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_100_step_302601.pth
|
sd35m_p2p_breif/metric_helper/epoch_10_step_30261.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_10_step_30261.pth
|
sd35m_p2p_breif/metric_helper/epoch_15_step_45391.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_15_step_45391.pth
|
sd35m_p2p_breif/metric_helper/epoch_20_step_60521.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_20_step_60521.pth
|
sd35m_p2p_breif/metric_helper/epoch_25_step_75651.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_25_step_75651.pth
|
sd35m_p2p_breif/metric_helper/epoch_30_step_90781.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_30_step_90781.pth
|
sd35m_p2p_breif/metric_helper/epoch_35_step_105911.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_35_step_105911.pth
|
sd35m_p2p_breif/metric_helper/epoch_40_step_121041.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_40_step_121041.pth
|
sd35m_p2p_breif/metric_helper/epoch_45_step_136171.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_45_step_136171.pth
|
sd35m_p2p_breif/metric_helper/epoch_50_step_151301.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_50_step_151301.pth
|
sd35m_p2p_breif/metric_helper/epoch_55_step_166431.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_55_step_166431.pth
|
sd35m_p2p_breif/metric_helper/epoch_5_step_15131.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_5_step_15131.pth
|
sd35m_p2p_breif/metric_helper/epoch_60_step_181561.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_60_step_181561.pth
|
sd35m_p2p_breif/metric_helper/epoch_65_step_196691.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_65_step_196691.pth
|
sd35m_p2p_breif/metric_helper/epoch_70_step_211821.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_70_step_211821.pth
|
sd35m_p2p_breif/metric_helper/epoch_75_step_226951.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_75_step_226951.pth
|
sd35m_p2p_breif/metric_helper/epoch_80_step_242081.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_80_step_242081.pth
|
sd35m_p2p_breif/metric_helper/epoch_85_step_257211.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_85_step_257211.pth
|
sd35m_p2p_breif/metric_helper/epoch_90_step_272341.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_90_step_272341.pth
|
sd35m_p2p_breif/metric_helper/epoch_95_step_287471.pth.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
output/sd35m_p2p_breif/config.py
|
| 2 |
+
output/sd35m_p2p_breif/checkpoints/epoch_95_step_287471.pth
|
sd35m_p2p_breif/train_log.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0ad6af5ef7235e94ea07e6f8e98be88fecdfa704aa8fb34710408c27809a4436
|
| 3 |
+
size 76200701
|