FST train phase 2 with FFT
Browse files- FST-P2-20260218/FontDiffuserFST_training_phase_2_config.yaml +159 -0
- FST-P2-20260218/checkpoint_step_1000/content_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/fst_module.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/fst_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/mss_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/original_style_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/scr.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/style_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_1000/training_state.pt +3 -0
- FST-P2-20260218/checkpoint_step_1000/unet.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/content_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/fst_module.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/fst_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/mss_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/original_style_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/scr.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/style_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_250/training_state.pt +3 -0
- FST-P2-20260218/checkpoint_step_250/unet.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/content_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/fst_module.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/fst_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/mss_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/original_style_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/scr.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/style_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_500/training_state.pt +3 -0
- FST-P2-20260218/checkpoint_step_500/unet.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/content_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/fst_module.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/fst_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/mss_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/original_style_projection.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/scr.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/style_encoder.safetensors +3 -0
- FST-P2-20260218/checkpoint_step_750/training_state.pt +3 -0
- FST-P2-20260218/checkpoint_step_750/unet.safetensors +3 -0
- FST-P2-20260218/final/content_encoder.safetensors +3 -0
- FST-P2-20260218/final/fst_module.safetensors +3 -0
- FST-P2-20260218/final/fst_projection.safetensors +3 -0
- FST-P2-20260218/final/mss_encoder.safetensors +3 -0
- FST-P2-20260218/final/original_style_projection.safetensors +3 -0
- FST-P2-20260218/final/scr.safetensors +3 -0
- FST-P2-20260218/final/style_encoder.safetensors +3 -0
- FST-P2-20260218/final/training_state.pt +3 -0
- FST-P2-20260218/final/unet.safetensors +3 -0
FST-P2-20260218/FontDiffuserFST_training_phase_2_config.yaml
ADDED
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|
| 1 |
+
adam_beta1: 0.9
|
| 2 |
+
adam_beta2: 0.999
|
| 3 |
+
adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
| 5 |
+
adversarial_dropout: 0.3
|
| 6 |
+
adversarial_entropy_weight: 0.1
|
| 7 |
+
adversarial_hidden_dims: 512,256,128
|
| 8 |
+
adversarial_input_channels: 256
|
| 9 |
+
adversarial_lambda: 1.0
|
| 10 |
+
adversarial_spectral_norm: true
|
| 11 |
+
adversarial_weight: 0.5
|
| 12 |
+
algorithm_type: dpmsolver++
|
| 13 |
+
batch_size: 1
|
| 14 |
+
beta_scheduler: scaled_linear
|
| 15 |
+
channel_attn: true
|
| 16 |
+
channels_last: false
|
| 17 |
+
character_input: false
|
| 18 |
+
characters: null
|
| 19 |
+
characters_file: null
|
| 20 |
+
ckpt_dir: null
|
| 21 |
+
ckpt_interval: 250
|
| 22 |
+
compile: true
|
| 23 |
+
compute_fid: false
|
| 24 |
+
consistency_loss_weight: 0.1
|
| 25 |
+
content_character: null
|
| 26 |
+
content_encoder_downsample_size: 3
|
| 27 |
+
content_image_path: null
|
| 28 |
+
content_image_size: !!python/tuple
|
| 29 |
+
- 96
|
| 30 |
+
- 96
|
| 31 |
+
content_start_channel: 64
|
| 32 |
+
controlnet: false
|
| 33 |
+
correcting_x0_fn: null
|
| 34 |
+
data_root: .
|
| 35 |
+
dataset_split: train_original
|
| 36 |
+
demo: false
|
| 37 |
+
deterministic: false
|
| 38 |
+
device: cuda:0
|
| 39 |
+
disc_learning_rate_factor: 0.5
|
| 40 |
+
disc_update_interval: 1
|
| 41 |
+
drop_prob: 0.1
|
| 42 |
+
enable_attention_slicing: false
|
| 43 |
+
enable_style_transform: false
|
| 44 |
+
enable_xformers: false
|
| 45 |
+
end_line: null
|
| 46 |
+
evaluate: true
|
| 47 |
+
experience_name: FontDiffuserFST_training_phase_2
|
| 48 |
+
export_onnx: false
|
| 49 |
+
fast_sampling: false
|
| 50 |
+
feature_dim: 512
|
| 51 |
+
ffn_dim: 2048
|
| 52 |
+
fp16: false
|
| 53 |
+
freeze_modules: ''
|
| 54 |
+
frequency_filter_type: gaussian
|
| 55 |
+
frequency_low_cutoff: 0.1
|
| 56 |
+
frequency_mid_cutoff: 0.4
|
| 57 |
+
frequency_mid_target: both
|
| 58 |
+
frequency_use_mid_band: true
|
| 59 |
+
fst_ckpt_path: null
|
| 60 |
+
fst_feature_channels: 64,128,256,512,1024
|
| 61 |
+
fst_num_queries: 220
|
| 62 |
+
fst_num_scales: 5
|
| 63 |
+
fst_query_dim: 256
|
| 64 |
+
gradient_accumulation_steps: 2
|
| 65 |
+
ground_truth_dir: null
|
| 66 |
+
guidance_scale: 7.5
|
| 67 |
+
guidance_type: classifier-free
|
| 68 |
+
hidden_dim: 256
|
| 69 |
+
identity_adaptive_max_weight: 1.0
|
| 70 |
+
identity_adaptive_min_weight: 0.1
|
| 71 |
+
identity_log_metrics: true
|
| 72 |
+
identity_loss_type: frobenius
|
| 73 |
+
identity_loss_weight: 0.1
|
| 74 |
+
identity_matrix_size: null
|
| 75 |
+
identity_metric_interval: 100
|
| 76 |
+
identity_pair_mode: random
|
| 77 |
+
identity_pooled_reduction: mean
|
| 78 |
+
identity_reg_weight: 0.01
|
| 79 |
+
identity_regularization: orthogonal
|
| 80 |
+
identity_similarity_threshold: 0.8
|
| 81 |
+
instructpix2pix: false
|
| 82 |
+
learning_rate: 5.0e-05
|
| 83 |
+
local_rank: -1
|
| 84 |
+
log_interval: 50
|
| 85 |
+
logging_dir: logs
|
| 86 |
+
lr_scheduler: cosine
|
| 87 |
+
lr_warmup_steps: 200
|
| 88 |
+
max_grad_norm: 1.0
|
| 89 |
+
max_train_steps: 1000
|
| 90 |
+
method: multistep
|
| 91 |
+
mixed_precision: 'no'
|
| 92 |
+
mode: refinement
|
| 93 |
+
model_type: noise
|
| 94 |
+
mss_base_channels: 64
|
| 95 |
+
mss_num_scales: 5
|
| 96 |
+
nce_layers: 0,1,2,3
|
| 97 |
+
num_consistency_pairs: 3
|
| 98 |
+
num_heads: 8
|
| 99 |
+
num_identity_pairs: 0
|
| 100 |
+
num_inference_steps: 20
|
| 101 |
+
num_neg: 34
|
| 102 |
+
num_styles: 10
|
| 103 |
+
num_workers: 1
|
| 104 |
+
offset_coefficient: 0.3
|
| 105 |
+
onnx_export_dir: null
|
| 106 |
+
onnx_opset_version: 17
|
| 107 |
+
order: 2
|
| 108 |
+
output_dir: outputs/FontArchitect/FST-P2-20260218
|
| 109 |
+
perceptual_coefficient: 0.03
|
| 110 |
+
phase_1: false
|
| 111 |
+
phase_1_ckpt_dir: ckpt/FST-P2-20260217/final/
|
| 112 |
+
phase_2: true
|
| 113 |
+
report_to: wandb
|
| 114 |
+
resolution: 96
|
| 115 |
+
save_image: false
|
| 116 |
+
save_image_dir: null
|
| 117 |
+
save_interval: 10
|
| 118 |
+
sc_coefficient: 0.03
|
| 119 |
+
scale_lr: false
|
| 120 |
+
scr_ckpt_path: ckpt/FST-P2-20260217/final/scr.safetensors
|
| 121 |
+
scr_image_size: 96
|
| 122 |
+
seed: 123
|
| 123 |
+
skeleton_distance_method: hybrid
|
| 124 |
+
skeleton_fusion_method: concat
|
| 125 |
+
skeleton_max_distance: 12.0
|
| 126 |
+
skeleton_method: medial_axis
|
| 127 |
+
skeleton_output_mode: dual_channel
|
| 128 |
+
skeleton_sigma: 1.5
|
| 129 |
+
skip_type: time_uniform
|
| 130 |
+
start_line: 1
|
| 131 |
+
style_image_path: null
|
| 132 |
+
style_image_size: !!python/tuple
|
| 133 |
+
- 96
|
| 134 |
+
- 96
|
| 135 |
+
style_images: null
|
| 136 |
+
style_source_same_prob: 0.5
|
| 137 |
+
style_start_channel: 64
|
| 138 |
+
style_transform_coefficient: 0.1
|
| 139 |
+
summary: false
|
| 140 |
+
t_end: null
|
| 141 |
+
t_start: null
|
| 142 |
+
temperature: 0.07
|
| 143 |
+
train_batch_size: 4
|
| 144 |
+
ttf_path: ttf/KaiXinSongA.ttf
|
| 145 |
+
unet_channels: !!python/tuple
|
| 146 |
+
- 64
|
| 147 |
+
- 128
|
| 148 |
+
- 256
|
| 149 |
+
- 512
|
| 150 |
+
use_adaptive_identity_loss: false
|
| 151 |
+
use_adversarial_disc: false
|
| 152 |
+
use_frequency_decomp: true
|
| 153 |
+
use_fst: true
|
| 154 |
+
use_pooled_identity_loss: false
|
| 155 |
+
use_skeleton_content: false
|
| 156 |
+
use_wandb: true
|
| 157 |
+
val_interval: 100
|
| 158 |
+
wandb_project: fontdiffuser-eval
|
| 159 |
+
wandb_run_name: null
|
FST-P2-20260218/checkpoint_step_1000/content_encoder.safetensors
ADDED
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| 3 |
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size 4756580
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FST-P2-20260218/checkpoint_step_1000/fst_module.safetensors
ADDED
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FST-P2-20260218/checkpoint_step_1000/fst_projection.safetensors
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FST-P2-20260218/checkpoint_step_1000/mss_encoder.safetensors
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FST-P2-20260218/checkpoint_step_1000/original_style_projection.safetensors
ADDED
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FST-P2-20260218/checkpoint_step_1000/scr.safetensors
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FST-P2-20260218/checkpoint_step_1000/style_encoder.safetensors
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FST-P2-20260218/checkpoint_step_1000/training_state.pt
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| 1 |
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version https://git-lfs.github.com/spec/v1
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FST-P2-20260218/checkpoint_step_1000/unet.safetensors
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FST-P2-20260218/checkpoint_step_250/content_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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FST-P2-20260218/checkpoint_step_250/fst_module.safetensors
ADDED
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