jbeomlee93
commited on
Commit
•
9a663f8
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Parent(s):
dd2543a
End of training
Browse files- README.md +17 -0
- checkpoint-1000/controlnet/config.json +57 -0
- checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-500/controlnet/config.json +57 -0
- checkpoint-500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- config.json +57 -0
- diffusion_pytorch_model.safetensors +3 -0
- logs/sd_xl_train_controlnet/1702410416.035401/events.out.tfevents.1702410416.pytorch-2-0-0-gpu-ml-p3dn-24xlarge-051a6d0780b7e55a6ff84c63b4cd.521.1 +3 -0
- logs/sd_xl_train_controlnet/1702410416.082322/hparams.yml +53 -0
- logs/sd_xl_train_controlnet/events.out.tfevents.1702410416.pytorch-2-0-0-gpu-ml-p3dn-24xlarge-051a6d0780b7e55a6ff84c63b4cd.521.0 +3 -0
README.md
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---
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license: openrail++
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base_model: diffusers/stable-diffusion-xl-1.0-inpainting-0.1
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- controlnet
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inference: true
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---
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# controlnet-jbeomlee93/output_lr1e-6_datav3_modify_size1024_step1000_zoomin_v2
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These are controlnet weights trained on diffusers/stable-diffusion-xl-1.0-inpainting-0.1 with new type of conditioning.
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checkpoint-1000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.24.0.dev0",
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"_name_or_path": "diffusers/controlnet-canny-sdxl-1.0",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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5,
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10,
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20
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],
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"block_out_channels": [
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320,
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640,
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1280
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],
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 2048,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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+
"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"projection_class_embeddings_input_dim": 2816,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": [
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1,
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2,
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10
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors
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size 5004167864
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checkpoint-1000/optimizer.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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checkpoint-1000/scheduler.bin
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checkpoint-500/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.24.0.dev0",
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"_name_or_path": "diffusers/controlnet-canny-sdxl-1.0",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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],
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"block_out_channels": [
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1280
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],
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 2048,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
|
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"num_class_embeds": null,
|
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"only_cross_attention": false,
|
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"projection_class_embeddings_input_dim": 2816,
|
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": [
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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checkpoint-500/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 988
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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config.json
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{
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"_class_name": "ControlNetModel",
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+
"_diffusers_version": "0.24.0.dev0",
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+
"_name_or_path": "diffusers/controlnet-canny-sdxl-1.0",
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5 |
+
"act_fn": "silu",
|
6 |
+
"addition_embed_type": "text_time",
|
7 |
+
"addition_embed_type_num_heads": 64,
|
8 |
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"addition_time_embed_dim": 256,
|
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"attention_head_dim": [
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5,
|
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10,
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+
20
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+
],
|
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"block_out_channels": [
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+
320,
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+
640,
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+
1280
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],
|
19 |
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
|
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"controlnet_conditioning_channel_order": "rgb",
|
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+
"cross_attention_dim": 2048,
|
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+
"down_block_types": [
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+
"DownBlock2D",
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+
"CrossAttnDownBlock2D",
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32 |
+
"CrossAttnDownBlock2D"
|
33 |
+
],
|
34 |
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"downsample_padding": 1,
|
35 |
+
"encoder_hid_dim": null,
|
36 |
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"encoder_hid_dim_type": null,
|
37 |
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"flip_sin_to_cos": true,
|
38 |
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"freq_shift": 0,
|
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+
"global_pool_conditions": false,
|
40 |
+
"in_channels": 4,
|
41 |
+
"layers_per_block": 2,
|
42 |
+
"mid_block_scale_factor": 1,
|
43 |
+
"norm_eps": 1e-05,
|
44 |
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"norm_num_groups": 32,
|
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"num_attention_heads": null,
|
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"num_class_embeds": null,
|
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"only_cross_attention": false,
|
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"projection_class_embeddings_input_dim": 2816,
|
49 |
+
"resnet_time_scale_shift": "default",
|
50 |
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"transformer_layers_per_block": [
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51 |
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1,
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2,
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53 |
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],
|
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"upcast_attention": null,
|
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"use_linear_projection": true
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+
}
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f08be846e32c2f97a0fa8f5f334cccefef519c6edfab570f6c3dfda2cf86d7d9
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+
size 5004167864
|
logs/sd_xl_train_controlnet/1702410416.035401/events.out.tfevents.1702410416.pytorch-2-0-0-gpu-ml-p3dn-24xlarge-051a6d0780b7e55a6ff84c63b4cd.521.1
ADDED
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version https://git-lfs.github.com/spec/v1
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size 2657
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logs/sd_xl_train_controlnet/1702410416.082322/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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+
allow_tf32: false
|
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+
cache_dir: null
|
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+
caption_column: text
|
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+
checkpointing_steps: 500
|
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+
checkpoints_total_limit: null
|
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conditioning_image_column: conditioning_image
|
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+
controlnet_model_name_or_path: diffusers/controlnet-canny-sdxl-1.0
|
12 |
+
crops_coords_top_left_h: 0
|
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+
crops_coords_top_left_w: 0
|
14 |
+
dataloader_num_workers: 0
|
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+
dataset_config_name: null
|
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+
dataset_name: dataset_JB
|
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+
enable_xformers_memory_efficient_attention: true
|
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+
gradient_accumulation_steps: 4
|
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+
gradient_checkpointing: false
|
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+
hub_model_id: null
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hub_token: null
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image_column: image
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+
learning_rate: 1.0e-06
|
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+
logging_dir: logs
|
25 |
+
lr_num_cycles: 1
|
26 |
+
lr_power: 1.0
|
27 |
+
lr_scheduler: constant
|
28 |
+
lr_warmup_steps: 500
|
29 |
+
max_grad_norm: 1.0
|
30 |
+
max_train_samples: null
|
31 |
+
max_train_steps: 1000
|
32 |
+
mixed_precision: fp16
|
33 |
+
num_train_epochs: 4
|
34 |
+
num_validation_images: 4
|
35 |
+
output_dir: output_lr1e-6_datav3_modify_size1024_step1000_zoomin_v2
|
36 |
+
pretrained_model_name_or_path: diffusers/stable-diffusion-xl-1.0-inpainting-0.1
|
37 |
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pretrained_vae_model_name_or_path: null
|
38 |
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proportion_empty_prompts: 0
|
39 |
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push_to_hub: true
|
40 |
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report_to: tensorboard
|
41 |
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resolution: 1024
|
42 |
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resume_from_checkpoint: null
|
43 |
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revision: null
|
44 |
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scale_lr: false
|
45 |
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seed: 42
|
46 |
+
set_grads_to_none: true
|
47 |
+
tokenizer_name: null
|
48 |
+
tracker_project_name: sd_xl_train_controlnet
|
49 |
+
train_batch_size: 1
|
50 |
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train_data_dir: null
|
51 |
+
use_8bit_adam: true
|
52 |
+
validation_steps: 10000
|
53 |
+
variant: null
|
logs/sd_xl_train_controlnet/events.out.tfevents.1702410416.pytorch-2-0-0-gpu-ml-p3dn-24xlarge-051a6d0780b7e55a6ff84c63b4cd.521.0
ADDED
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size 335054
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