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font-architect

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font-diffusion
contrastive-learning
font-generation
character-synthesis
style-transfer
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dzungpham commited on
Commit
4276bc5
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1 Parent(s): ce45ffb

Finish training for 12k steps for phase 1 and 10k steps for phase 2

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Files changed (21) hide show
  1. phase1/FontDiffuser_training_phase_1_config.yaml +6 -4
  2. phase1/checkpoint_step_1000/content_encoder.safetensors +3 -0
  3. phase1/checkpoint_step_1000/style_encoder.safetensors +3 -0
  4. phase1/checkpoint_step_1000/training_state.pt +3 -0
  5. phase1/checkpoint_step_1000/unet.safetensors +3 -0
  6. phase1/checkpoint_step_1500/content_encoder.safetensors +1 -1
  7. phase1/checkpoint_step_1500/style_encoder.safetensors +1 -1
  8. phase1/checkpoint_step_1500/training_state.pt +1 -1
  9. phase1/checkpoint_step_1500/unet.safetensors +1 -1
  10. phase1/checkpoint_step_2000/content_encoder.safetensors +3 -0
  11. phase1/checkpoint_step_2000/style_encoder.safetensors +3 -0
  12. phase1/checkpoint_step_2000/training_state.pt +3 -0
  13. phase1/checkpoint_step_2000/unet.safetensors +3 -0
  14. phase1/checkpoint_step_500/content_encoder.safetensors +3 -0
  15. phase1/checkpoint_step_500/style_encoder.safetensors +3 -0
  16. phase1/checkpoint_step_500/training_state.pt +3 -0
  17. phase1/checkpoint_step_500/unet.safetensors +3 -0
  18. phase1/final/content_encoder.safetensors +1 -1
  19. phase1/final/style_encoder.safetensors +1 -1
  20. phase1/final/training_state.pt +1 -1
  21. phase1/final/unet.safetensors +1 -1
phase1/FontDiffuser_training_phase_1_config.yaml CHANGED
@@ -5,12 +5,13 @@ adam_weight_decay: 0.01
5
  algorithm_type: dpmsolver++
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  beta_scheduler: scaled_linear
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  channel_attn: true
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- ckpt_interval: 750
9
  content_encoder_downsample_size: 3
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  content_image_size: !!python/tuple
11
  - 96
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  - 96
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  content_start_channel: 64
 
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  correcting_x0_fn: null
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  data_root: my_dataset
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  drop_prob: 0.1
@@ -19,6 +20,7 @@ experience_name: FontDiffuser_training_phase_1
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  gradient_accumulation_steps: 2
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  guidance_scale: 7.5
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  guidance_type: classifier-free
 
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  learning_rate: 0.0001
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  local_rank: -1
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  log_interval: 50
@@ -26,7 +28,7 @@ logging_dir: logs
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  lr_scheduler: cosine
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  lr_warmup_steps: 200
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  max_grad_norm: 1.0
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- max_train_steps: 3000
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  method: multistep
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  mixed_precision: fp16
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  mode: refinement
@@ -39,8 +41,8 @@ offset_coefficient: 0.5
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  order: 2
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  output_dir: outputs/FontDiffuser/phase1
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  perceptual_coefficient: 0.05
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- phase_1: false
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- phase_1_ckpt_dir: ckpt/checkpoint_step_1000
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  phase_2: false
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  report_to: wandb
46
  resolution: 96
 
5
  algorithm_type: dpmsolver++
6
  beta_scheduler: scaled_linear
7
  channel_attn: true
8
+ ckpt_interval: 500
9
  content_encoder_downsample_size: 3
10
  content_image_size: !!python/tuple
11
  - 96
12
  - 96
13
  content_start_channel: 64
14
+ controlnet: false
15
  correcting_x0_fn: null
16
  data_root: my_dataset
17
  drop_prob: 0.1
 
20
  gradient_accumulation_steps: 2
21
  guidance_scale: 7.5
22
  guidance_type: classifier-free
23
+ instructpix2pix: false
24
  learning_rate: 0.0001
25
  local_rank: -1
26
  log_interval: 50
 
28
  lr_scheduler: cosine
29
  lr_warmup_steps: 200
30
  max_grad_norm: 1.0
31
+ max_train_steps: 2000
32
  method: multistep
33
  mixed_precision: fp16
34
  mode: refinement
 
41
  order: 2
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  output_dir: outputs/FontDiffuser/phase1
43
  perceptual_coefficient: 0.05
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+ phase_1: true
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+ phase_1_ckpt_dir: ckpt/phase2/final
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  phase_2: false
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  report_to: wandb
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  resolution: 96
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