Upload folder using huggingface_hub
Browse files- pre-trained/autoencoder/svg_autoencoder-P-stage1.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder-P-stage2.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder-P-stage3.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder-R-stage1.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder-R-stage2.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder-R-stage3.ckpt +3 -0
- pre-trained/autoencoder/svg_autoencoder_P_stage1_256.yaml +52 -0
- pre-trained/autoencoder/svg_autoencoder_P_stage2_512.yaml +52 -0
- pre-trained/autoencoder/svg_autoencoder_P_stage3_1024.yaml +52 -0
- pre-trained/autoencoder/svg_autoencoder_R_stage1_256.yaml +52 -0
- pre-trained/autoencoder/svg_autoencoder_R_stage2_512.yaml +52 -0
- pre-trained/autoencoder/svg_autoencoder_R_stage3_1024.yaml +52 -0
pre-trained/autoencoder/svg_autoencoder-P-stage1.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1083c1e2ee4cabc24c0a7a51eb98a3a8177589658b01fe691048c3532f18680f
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size 357108579
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pre-trained/autoencoder/svg_autoencoder-P-stage2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:457124c0a92c1c4b976b7e2a6f67cb8bba19e83ac14ae1f70de502337535b117
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size 357108579
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pre-trained/autoencoder/svg_autoencoder-P-stage3.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:23f8f42e2384488563a90ad23691e17bee8e33d18bb6ce560a7ed108a5424285
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size 357108579
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pre-trained/autoencoder/svg_autoencoder-R-stage1.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:60cc3612d173d57338612f30edb71043f4a009aeb6f8ea9f5ecbd2a0d1de0329
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size 445917171
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pre-trained/autoencoder/svg_autoencoder-R-stage2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed64535c7809db4745c979fda99691b141b37a3a203ca2dffd325f343130a964
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size 445917171
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pre-trained/autoencoder/svg_autoencoder-R-stage3.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f232b8d5feac07287e225b1d1b6a2ca54226858409834a838cf397df52b592df
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size 445917171
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pre-trained/autoencoder/svg_autoencoder_P_stage1_256.yaml
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training:
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logdir: "logs"
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scale_lr: false
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accumulate_grad_batches: 1
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save_every_n_train_steps: 20000
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save_every_n_epochs: 1
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trainer:
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devices: 8
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num_nodes: 1
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strategy: "ddp_find_unused_parameters_true"
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accelerator: "gpu"
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max_epochs: 1000
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precision: 32
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# Model configuration
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model:
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init_weight: pre-trained/autoencoder/svg_autoencoder-P-stage1.ckpt
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| 19 |
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base_learning_rate: 1.0e-04
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target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
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params:
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ckpt_path: pre-trained/autoencoder/svg_autoencoder-P-stage1.ckpt
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+
embed_dim: 32
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+
lossconfig:
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| 25 |
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target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
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params:
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disc_start: 5000
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disc_weight: 0.5
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ddconfig:
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double_z: true
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z_channels: 384
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resolution: 256
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in_channels: 3
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out_ch: 3
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ch: 128
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ch_mult:
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- 1
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- 1
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- 2
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- 2
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- 4
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num_res_blocks: 2
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attn_resolutions: []
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dropout: 0.0
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dinoconfig:
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| 47 |
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dinov3_location: dinov3
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| 48 |
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model_name: dinov3_vits16plus
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| 49 |
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weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
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| 50 |
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extra_vit_config: null
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pre-trained/autoencoder/svg_autoencoder_P_stage2_512.yaml
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training:
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logdir: "logs"
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scale_lr: false
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| 4 |
+
accumulate_grad_batches: 1
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| 5 |
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save_every_n_train_steps: 20000
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| 6 |
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save_every_n_epochs: 1
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trainer:
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| 9 |
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devices: 8
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| 10 |
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num_nodes: 1
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| 11 |
+
strategy: "ddp_find_unused_parameters_true"
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| 12 |
+
accelerator: "gpu"
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| 13 |
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max_epochs: 1000
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| 14 |
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precision: 32
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| 15 |
+
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| 16 |
+
# Model configuration
|
| 17 |
+
model:
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| 18 |
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init_weight: pre-trained/autoencoder/svg_autoencoder-P-stage2.ckpt
|
| 19 |
+
base_learning_rate: 1.0e-04
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| 20 |
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target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
|
| 21 |
+
params:
|
| 22 |
+
ckpt_path: pre-trained/autoencoder/svg_autoencoder-P-stage2.ckpt
|
| 23 |
+
embed_dim: 32
|
| 24 |
+
lossconfig:
|
| 25 |
+
target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
|
| 26 |
+
params:
|
| 27 |
+
disc_start: 5000
|
| 28 |
+
disc_weight: 0.5
|
| 29 |
+
ddconfig:
|
| 30 |
+
double_z: true
|
| 31 |
+
z_channels: 384
|
| 32 |
+
resolution: 256
|
| 33 |
+
in_channels: 3
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| 34 |
+
out_ch: 3
|
| 35 |
+
ch: 128
|
| 36 |
+
ch_mult:
|
| 37 |
+
- 1
|
| 38 |
+
- 1
|
| 39 |
+
- 2
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| 40 |
+
- 2
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| 41 |
+
- 4
|
| 42 |
+
num_res_blocks: 2
|
| 43 |
+
attn_resolutions: []
|
| 44 |
+
dropout: 0.0
|
| 45 |
+
|
| 46 |
+
dinoconfig:
|
| 47 |
+
dinov3_location: dinov3
|
| 48 |
+
model_name: dinov3_vits16plus
|
| 49 |
+
weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
|
| 50 |
+
extra_vit_config: null
|
| 51 |
+
|
| 52 |
+
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pre-trained/autoencoder/svg_autoencoder_P_stage3_1024.yaml
ADDED
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| 1 |
+
training:
|
| 2 |
+
logdir: "logs"
|
| 3 |
+
scale_lr: false
|
| 4 |
+
accumulate_grad_batches: 1
|
| 5 |
+
save_every_n_train_steps: 20000
|
| 6 |
+
save_every_n_epochs: 1
|
| 7 |
+
|
| 8 |
+
trainer:
|
| 9 |
+
devices: 8
|
| 10 |
+
num_nodes: 1
|
| 11 |
+
strategy: "ddp_find_unused_parameters_true"
|
| 12 |
+
accelerator: "gpu"
|
| 13 |
+
max_epochs: 1000
|
| 14 |
+
precision: 32
|
| 15 |
+
|
| 16 |
+
# Model configuration
|
| 17 |
+
model:
|
| 18 |
+
init_weight: pre-trained/autoencoder/svg_autoencoder-P-stage3.ckpt
|
| 19 |
+
base_learning_rate: 1.0e-04
|
| 20 |
+
target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
|
| 21 |
+
params:
|
| 22 |
+
ckpt_path: pre-trained/autoencoder/svg_autoencoder-P-stage3.ckpt
|
| 23 |
+
embed_dim: 32
|
| 24 |
+
lossconfig:
|
| 25 |
+
target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
|
| 26 |
+
params:
|
| 27 |
+
disc_start: 5000
|
| 28 |
+
disc_weight: 0.5
|
| 29 |
+
ddconfig:
|
| 30 |
+
double_z: true
|
| 31 |
+
z_channels: 384
|
| 32 |
+
resolution: 256
|
| 33 |
+
in_channels: 3
|
| 34 |
+
out_ch: 3
|
| 35 |
+
ch: 128
|
| 36 |
+
ch_mult:
|
| 37 |
+
- 1
|
| 38 |
+
- 1
|
| 39 |
+
- 2
|
| 40 |
+
- 2
|
| 41 |
+
- 4
|
| 42 |
+
num_res_blocks: 2
|
| 43 |
+
attn_resolutions: []
|
| 44 |
+
dropout: 0.0
|
| 45 |
+
|
| 46 |
+
dinoconfig:
|
| 47 |
+
dinov3_location: dinov3
|
| 48 |
+
model_name: dinov3_vits16plus
|
| 49 |
+
weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
|
| 50 |
+
extra_vit_config: null
|
| 51 |
+
|
| 52 |
+
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pre-trained/autoencoder/svg_autoencoder_R_stage1_256.yaml
ADDED
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|
| 1 |
+
training:
|
| 2 |
+
logdir: "logs"
|
| 3 |
+
scale_lr: false
|
| 4 |
+
accumulate_grad_batches: 1
|
| 5 |
+
save_every_n_train_steps: 20000
|
| 6 |
+
save_every_n_epochs: 1
|
| 7 |
+
|
| 8 |
+
trainer:
|
| 9 |
+
devices: 8
|
| 10 |
+
num_nodes: 1
|
| 11 |
+
strategy: "ddp_find_unused_parameters_true"
|
| 12 |
+
accelerator: "gpu"
|
| 13 |
+
max_epochs: 1000
|
| 14 |
+
precision: 32
|
| 15 |
+
|
| 16 |
+
# Model configuration
|
| 17 |
+
model:
|
| 18 |
+
init_weight: pre-trained/autoencoder/svg_autoencoder-R-stage1.ckpt
|
| 19 |
+
base_learning_rate: 1.0e-04
|
| 20 |
+
target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
|
| 21 |
+
params:
|
| 22 |
+
ckpt_path: pre-trained/autoencoder/svg_autoencoder-R-stage1.ckpt
|
| 23 |
+
embed_dim: 32
|
| 24 |
+
lossconfig:
|
| 25 |
+
target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
|
| 26 |
+
params:
|
| 27 |
+
disc_start: 5000
|
| 28 |
+
disc_weight: 0.5
|
| 29 |
+
ddconfig:
|
| 30 |
+
double_z: true
|
| 31 |
+
z_channels: 384
|
| 32 |
+
resolution: 256
|
| 33 |
+
in_channels: 3
|
| 34 |
+
out_ch: 3
|
| 35 |
+
ch: 128
|
| 36 |
+
ch_mult:
|
| 37 |
+
- 1
|
| 38 |
+
- 1
|
| 39 |
+
- 2
|
| 40 |
+
- 2
|
| 41 |
+
- 4
|
| 42 |
+
num_res_blocks: 2
|
| 43 |
+
attn_resolutions: []
|
| 44 |
+
dropout: 0.0
|
| 45 |
+
|
| 46 |
+
dinoconfig:
|
| 47 |
+
dinov3_location: dinov3
|
| 48 |
+
model_name: dinov3_vits16plus
|
| 49 |
+
weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
|
| 50 |
+
extra_vit_config: null
|
| 51 |
+
|
| 52 |
+
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pre-trained/autoencoder/svg_autoencoder_R_stage2_512.yaml
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|
| 1 |
+
training:
|
| 2 |
+
logdir: "logs"
|
| 3 |
+
scale_lr: false
|
| 4 |
+
accumulate_grad_batches: 1
|
| 5 |
+
save_every_n_train_steps: 20000
|
| 6 |
+
save_every_n_epochs: 1
|
| 7 |
+
|
| 8 |
+
trainer:
|
| 9 |
+
devices: 8
|
| 10 |
+
num_nodes: 1
|
| 11 |
+
strategy: "ddp_find_unused_parameters_true"
|
| 12 |
+
accelerator: "gpu"
|
| 13 |
+
max_epochs: 1000
|
| 14 |
+
precision: 32
|
| 15 |
+
|
| 16 |
+
# Model configuration
|
| 17 |
+
model:
|
| 18 |
+
init_weight: pre-trained/autoencoder/svg_autoencoder-R-stage2.ckpt
|
| 19 |
+
base_learning_rate: 1.0e-04
|
| 20 |
+
target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
|
| 21 |
+
params:
|
| 22 |
+
ckpt_path: pre-trained/autoencoder/svg_autoencoder-R-stage2.ckpt
|
| 23 |
+
embed_dim: 32
|
| 24 |
+
lossconfig:
|
| 25 |
+
target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
|
| 26 |
+
params:
|
| 27 |
+
disc_start: 5000
|
| 28 |
+
disc_weight: 0.5
|
| 29 |
+
ddconfig:
|
| 30 |
+
double_z: true
|
| 31 |
+
z_channels: 384
|
| 32 |
+
resolution: 256
|
| 33 |
+
in_channels: 3
|
| 34 |
+
out_ch: 3
|
| 35 |
+
ch: 128
|
| 36 |
+
ch_mult:
|
| 37 |
+
- 1
|
| 38 |
+
- 1
|
| 39 |
+
- 2
|
| 40 |
+
- 2
|
| 41 |
+
- 4
|
| 42 |
+
num_res_blocks: 2
|
| 43 |
+
attn_resolutions: []
|
| 44 |
+
dropout: 0.0
|
| 45 |
+
|
| 46 |
+
dinoconfig:
|
| 47 |
+
dinov3_location: dinov3
|
| 48 |
+
model_name: dinov3_vits16plus
|
| 49 |
+
weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
|
| 50 |
+
extra_vit_config: null
|
| 51 |
+
|
| 52 |
+
|
pre-trained/autoencoder/svg_autoencoder_R_stage3_1024.yaml
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
training:
|
| 2 |
+
logdir: "logs"
|
| 3 |
+
scale_lr: false
|
| 4 |
+
accumulate_grad_batches: 1
|
| 5 |
+
save_every_n_train_steps: 20000
|
| 6 |
+
save_every_n_epochs: 1
|
| 7 |
+
|
| 8 |
+
trainer:
|
| 9 |
+
devices: 8
|
| 10 |
+
num_nodes: 1
|
| 11 |
+
strategy: "ddp_find_unused_parameters_true"
|
| 12 |
+
accelerator: "gpu"
|
| 13 |
+
max_epochs: 1000
|
| 14 |
+
precision: 32
|
| 15 |
+
|
| 16 |
+
# Model configuration
|
| 17 |
+
model:
|
| 18 |
+
init_weight: pre-trained/autoencoder/svg_autoencoder-R-stage3.ckpt
|
| 19 |
+
base_learning_rate: 1.0e-04
|
| 20 |
+
target: ldm.models.dinov3_decoder_native_resolution.DinoDecoder
|
| 21 |
+
params:
|
| 22 |
+
ckpt_path: pre-trained/autoencoder/svg_autoencoder-R-stage3.ckpt
|
| 23 |
+
embed_dim: 32
|
| 24 |
+
lossconfig:
|
| 25 |
+
target: "ldm.modules.losses.LPIPSWithDiscriminatorDecoder"
|
| 26 |
+
params:
|
| 27 |
+
disc_start: 5000
|
| 28 |
+
disc_weight: 0.5
|
| 29 |
+
ddconfig:
|
| 30 |
+
double_z: true
|
| 31 |
+
z_channels: 384
|
| 32 |
+
resolution: 256
|
| 33 |
+
in_channels: 3
|
| 34 |
+
out_ch: 3
|
| 35 |
+
ch: 128
|
| 36 |
+
ch_mult:
|
| 37 |
+
- 1
|
| 38 |
+
- 1
|
| 39 |
+
- 2
|
| 40 |
+
- 2
|
| 41 |
+
- 4
|
| 42 |
+
num_res_blocks: 2
|
| 43 |
+
attn_resolutions: []
|
| 44 |
+
dropout: 0.0
|
| 45 |
+
|
| 46 |
+
dinoconfig:
|
| 47 |
+
dinov3_location: dinov3
|
| 48 |
+
model_name: dinov3_vits16plus
|
| 49 |
+
weights: pre-trained/dinov3_vits16plus_pretrain_lvd1689m-4057cbaa.pth
|
| 50 |
+
extra_vit_config: null
|
| 51 |
+
|
| 52 |
+
|