End of training
Browse files- README.md +20 -0
- checkpoint-1000/controlnet/config.json +44 -0
- checkpoint-1000/controlnet/diffusion_pytorch_model.bin +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-1500/controlnet/config.json +44 -0
- checkpoint-1500/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/controlnet/config.json +44 -0
- checkpoint-2000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-500/controlnet/config.json +44 -0
- checkpoint-500/controlnet/diffusion_pytorch_model.bin +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 +44 -0
- diffusion_pytorch_model.bin +3 -0
- image_control.png +0 -0
- images_0.png +0 -0
- logs/train_controlnet/1698136955.89282/events.out.tfevents.1698136955.285d4da4d3dd.1278.1 +3 -0
- logs/train_controlnet/1698136955.8950262/hparams.yml +49 -0
- logs/train_controlnet/1698137667.7316034/events.out.tfevents.1698137667.285d4da4d3dd.5335.1 +3 -0
- logs/train_controlnet/1698137667.7340715/hparams.yml +49 -0
- logs/train_controlnet/1698138332.2972698/events.out.tfevents.1698138332.285d4da4d3dd.8317.1 +3 -0
- logs/train_controlnet/1698138332.2989447/hparams.yml +49 -0
- logs/train_controlnet/1698139447.0913413/events.out.tfevents.1698139447.285d4da4d3dd.13142.1 +3 -0
- logs/train_controlnet/1698139447.094729/hparams.yml +49 -0
- logs/train_controlnet/events.out.tfevents.1698136955.285d4da4d3dd.1278.0 +3 -0
- logs/train_controlnet/events.out.tfevents.1698137667.285d4da4d3dd.5335.0 +3 -0
- logs/train_controlnet/events.out.tfevents.1698138332.285d4da4d3dd.8317.0 +3 -0
- logs/train_controlnet/events.out.tfevents.1698139447.285d4da4d3dd.13142.0 +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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tags:
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- stable-diffusion
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- stable-diffusion-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-Jise/controlnet-X-ray
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These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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You can find some example images below.
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prompt: chest X_ray
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![images_0)](./images_0.png)
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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": "0.18.2",
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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320,
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640,
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9 |
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1280,
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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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32,
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96,
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
|
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"downsample_padding": 1,
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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,
|
36 |
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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": null,
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"resnet_time_scale_shift": "default",
|
42 |
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"upcast_attention": false,
|
43 |
+
"use_linear_projection": false
|
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+
}
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checkpoint-1000/controlnet/diffusion_pytorch_model.bin
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size 1445259705
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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-1500/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.18.2",
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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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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32,
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96,
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256
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
|
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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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": null,
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"resnet_time_scale_shift": "default",
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"upcast_attention": false,
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"use_linear_projection": false
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}
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checkpoint-1500/controlnet/diffusion_pytorch_model.bin
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checkpoint-1500/optimizer.bin
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checkpoint-1500/random_states_0.pkl
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checkpoint-1500/scaler.pt
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checkpoint-1500/scheduler.bin
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checkpoint-2000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
|
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"_diffusers_version": "0.18.2",
|
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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"class_embed_type": null,
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"conditioning_embedding_out_channels": [
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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": 768,
|
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"down_block_types": [
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"CrossAttnDownBlock2D",
|
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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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": null,
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"resnet_time_scale_shift": "default",
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"upcast_attention": false,
|
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"use_linear_projection": false
|
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}
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checkpoint-2000/controlnet/diffusion_pytorch_model.bin
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checkpoint-2000/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": "0.18.2",
|
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"act_fn": "silu",
|
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"attention_head_dim": 8,
|
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"block_out_channels": [
|
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|
8 |
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|
9 |
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|
10 |
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|
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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,
|
17 |
+
96,
|
18 |
+
256
|
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],
|
20 |
+
"controlnet_conditioning_channel_order": "rgb",
|
21 |
+
"cross_attention_dim": 768,
|
22 |
+
"down_block_types": [
|
23 |
+
"CrossAttnDownBlock2D",
|
24 |
+
"CrossAttnDownBlock2D",
|
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
|
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"flip_sin_to_cos": true,
|
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|
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|
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|
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"mid_block_scale_factor": 1,
|
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tracker_project_name: train_controlnet
|
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train_batch_size: 1
|
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|
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|
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validation_steps: 100
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logs/train_controlnet/events.out.tfevents.1698136955.285d4da4d3dd.1278.0
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