End of training
Browse files- README.md +17 -0
- checkpoint-12000/controlnet/config.json +48 -0
- checkpoint-12000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- config.json +48 -0
- diffusion_pytorch_model.bin +3 -0
- logs/aerialdreams/1683072896.296228/events.out.tfevents.1683072896.b0ef948779c5.25216.1 +3 -0
- logs/aerialdreams/1683072896.298798/hparams.yml +49 -0
- logs/aerialdreams/1683072948.25747/events.out.tfevents.1683072948.b0ef948779c5.25535.1 +3 -0
- logs/aerialdreams/1683072948.259929/hparams.yml +49 -0
- logs/aerialdreams/1683073021.1765406/events.out.tfevents.1683073021.b0ef948779c5.25943.1 +3 -0
- logs/aerialdreams/1683073021.1788802/hparams.yml +49 -0
- logs/aerialdreams/1683073058.536541/events.out.tfevents.1683073058.b0ef948779c5.26180.1 +3 -0
- logs/aerialdreams/1683073058.5388718/hparams.yml +49 -0
- logs/aerialdreams/events.out.tfevents.1683072896.b0ef948779c5.25216.0 +3 -0
- logs/aerialdreams/events.out.tfevents.1683072948.b0ef948779c5.25535.0 +3 -0
- logs/aerialdreams/events.out.tfevents.1683073021.b0ef948779c5.25943.0 +3 -0
- logs/aerialdreams/events.out.tfevents.1683073058.b0ef948779c5.26180.0 +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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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-rgres/modelout
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These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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checkpoint-12000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.17.0.dev0",
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"_name_or_path": "modelout/checkpoint-8000",
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"act_fn": "silu",
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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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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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1280
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],
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"class_embed_type": null,
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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": 1024,
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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,
|
36 |
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"global_pool_conditions": false,
|
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"in_channels": 4,
|
38 |
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"layers_per_block": 2,
|
39 |
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"mid_block_scale_factor": 1,
|
40 |
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"norm_eps": 1e-05,
|
41 |
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"norm_num_groups": 32,
|
42 |
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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",
|
46 |
+
"upcast_attention": false,
|
47 |
+
"use_linear_projection": true
|
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+
}
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checkpoint-12000/controlnet/diffusion_pytorch_model.bin
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size 1457056057
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checkpoint-12000/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-12000/random_states_0.pkl
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size 14663
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checkpoint-12000/scheduler.bin
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size 563
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config.json
ADDED
@@ -0,0 +1,48 @@
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.17.0.dev0",
|
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"_name_or_path": "modelout/checkpoint-12000",
|
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"act_fn": "silu",
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"attention_head_dim": [
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7 |
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5,
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10,
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20,
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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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1280
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],
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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": 1024,
|
27 |
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"down_block_types": [
|
28 |
+
"CrossAttnDownBlock2D",
|
29 |
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"CrossAttnDownBlock2D",
|
30 |
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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,
|
37 |
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"in_channels": 4,
|
38 |
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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_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": true
|
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}
|
diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1457056057
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logs/aerialdreams/1683072896.296228/events.out.tfevents.1683072896.b0ef948779c5.25216.1
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version https://git-lfs.github.com/spec/v1
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logs/aerialdreams/1683072896.298798/hparams.yml
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adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
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adam_weight_decay: 0.01
|
5 |
+
allow_tf32: false
|
6 |
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cache_dir: null
|
7 |
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caption_column: text
|
8 |
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checkpointing_steps: 2000
|
9 |
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checkpoints_total_limit: null
|
10 |
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conditioning_image_column: conditioning_image
|
11 |
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controlnet_model_name_or_path: null
|
12 |
+
dataloader_num_workers: 0
|
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dataset_config_name: null
|
14 |
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dataset_name: fusing/fill50k
|
15 |
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enable_xformers_memory_efficient_attention: true
|
16 |
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gradient_accumulation_steps: 1
|
17 |
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gradient_checkpointing: false
|
18 |
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hub_model_id: null
|
19 |
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hub_token: null
|
20 |
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image_column: image
|
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learning_rate: 0.0
|
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logging_dir: logs
|
23 |
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lr_num_cycles: 1
|
24 |
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lr_power: 1.0
|
25 |
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lr_scheduler: constant
|
26 |
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lr_warmup_steps: 500
|
27 |
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max_grad_norm: 1.0
|
28 |
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max_train_samples: null
|
29 |
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max_train_steps: 0
|
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mixed_precision: null
|
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num_train_epochs: 0
|
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num_validation_images: 4
|
33 |
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output_dir: modelout
|
34 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
|
35 |
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proportion_empty_prompts: 0
|
36 |
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push_to_hub: true
|
37 |
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report_to: tensorboard
|
38 |
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resolution: 512
|
39 |
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resume_from_checkpoint: checkpoint-1200
|
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revision: null
|
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scale_lr: false
|
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seed: null
|
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set_grads_to_none: false
|
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tokenizer_name: null
|
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tracker_project_name: aerialdreams
|
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train_batch_size: 5
|
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train_data_dir: null
|
48 |
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use_8bit_adam: false
|
49 |
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validation_steps: 1000
|
logs/aerialdreams/1683072948.25747/events.out.tfevents.1683072948.b0ef948779c5.25535.1
ADDED
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version https://git-lfs.github.com/spec/v1
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size 2349
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logs/aerialdreams/1683072948.259929/hparams.yml
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adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
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adam_weight_decay: 0.01
|
5 |
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allow_tf32: false
|
6 |
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cache_dir: null
|
7 |
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caption_column: text
|
8 |
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checkpointing_steps: 2000
|
9 |
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checkpoints_total_limit: null
|
10 |
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conditioning_image_column: conditioning_image
|
11 |
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controlnet_model_name_or_path: null
|
12 |
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dataloader_num_workers: 0
|
13 |
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dataset_config_name: null
|
14 |
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dataset_name: fusing/fill50k
|
15 |
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enable_xformers_memory_efficient_attention: true
|
16 |
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gradient_accumulation_steps: 1
|
17 |
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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: 0.0
|
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logging_dir: logs
|
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lr_num_cycles: 1
|
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lr_power: 1.0
|
25 |
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lr_scheduler: constant
|
26 |
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lr_warmup_steps: 500
|
27 |
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max_grad_norm: 1.0
|
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max_train_samples: null
|
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max_train_steps: 0
|
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mixed_precision: null
|
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num_train_epochs: 0
|
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num_validation_images: 4
|
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output_dir: modelout
|
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
|
35 |
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proportion_empty_prompts: 0
|
36 |
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push_to_hub: true
|
37 |
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report_to: tensorboard
|
38 |
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resolution: 512
|
39 |
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resume_from_checkpoint: checkpoint-12000
|
40 |
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revision: null
|
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scale_lr: false
|
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seed: null
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set_grads_to_none: false
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tokenizer_name: null
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tracker_project_name: aerialdreams
|
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train_batch_size: 5
|
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train_data_dir: null
|
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use_8bit_adam: false
|
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validation_steps: 1000
|
logs/aerialdreams/1683073021.1765406/events.out.tfevents.1683073021.b0ef948779c5.25943.1
ADDED
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logs/aerialdreams/1683073021.1788802/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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cache_dir: null
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caption_column: text
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checkpointing_steps: 2000
|
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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: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: fusing/fill50k
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 1
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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: 0.0
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