End of training
Browse files- README.md +6 -0
- config.json +9 -4
- diffusion_pytorch_model.safetensors +2 -2
- image_control.png +0 -0
- images_0.png +2 -2
- logs/train_controlnet_persian/1757353931.5153167/events.out.tfevents.1757353931.0f16519829e8.4893.1 +3 -0
- logs/train_controlnet_persian/1757353931.5166864/hparams.yml +50 -0
- logs/train_controlnet_persian/1757354519.00914/events.out.tfevents.1757354519.0f16519829e8.7961.1 +3 -0
- logs/train_controlnet_persian/1757354519.0106533/hparams.yml +50 -0
- logs/train_controlnet_persian/events.out.tfevents.1757353931.0f16519829e8.4893.0 +3 -0
- logs/train_controlnet_persian/events.out.tfevents.1757354519.0f16519829e8.7961.0 +3 -0
README.md
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@@ -10,6 +10,12 @@ tags:
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- diffusers
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- controlnet
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- diffusers-training
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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- diffusers
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- controlnet
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- diffusers-training
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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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- diffusers-training
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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config.json
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim":
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"block_out_channels": [
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320,
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640,
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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":
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": 1,
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"upcast_attention":
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"use_linear_projection":
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}
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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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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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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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": 1,
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"upcast_attention": true,
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"use_linear_projection": true
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}
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diffusion_pytorch_model.safetensors
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size
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size 1456953560
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image_control.png
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images_0.png
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Git LFS Details
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Git LFS Details
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logs/train_controlnet_persian/1757353931.5153167/events.out.tfevents.1757353931.0f16519829e8.4893.1
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logs/train_controlnet_persian/1757353931.5166864/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: 1000
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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: null
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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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-05
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 500
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max_grad_norm: 1.0
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max_train_samples: null
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max_train_steps: 90
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mixed_precision: fp16
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num_train_epochs: 15
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num_validation_images: 4
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output_dir: ./controlnet_persian_text_v1
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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proportion_empty_prompts: 0
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push_to_hub: true
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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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: train_controlnet_persian
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train_batch_size: 4
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train_data_dir: ./final_dataset
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use_8bit_adam: false
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| 49 |
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validation_steps: 1000
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variant: null
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logs/train_controlnet_persian/1757354519.00914/events.out.tfevents.1757354519.0f16519829e8.7961.1
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@@ -0,0 +1,3 @@
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| 3 |
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size 2355
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logs/train_controlnet_persian/1757354519.0106533/hparams.yml
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| 1 |
+
adam_beta1: 0.9
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| 2 |
+
adam_beta2: 0.999
|
| 3 |
+
adam_epsilon: 1.0e-08
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| 4 |
+
adam_weight_decay: 0.01
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| 5 |
+
allow_tf32: false
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| 6 |
+
cache_dir: null
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| 7 |
+
caption_column: text
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| 8 |
+
checkpointing_steps: 1000
|
| 9 |
+
checkpoints_total_limit: null
|
| 10 |
+
conditioning_image_column: conditioning_image
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| 11 |
+
controlnet_model_name_or_path: null
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| 12 |
+
dataloader_num_workers: 0
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| 13 |
+
dataset_config_name: null
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| 14 |
+
dataset_name: null
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| 15 |
+
enable_xformers_memory_efficient_attention: false
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| 16 |
+
gradient_accumulation_steps: 1
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| 17 |
+
gradient_checkpointing: true
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| 18 |
+
hub_model_id: null
|
| 19 |
+
hub_token: null
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| 20 |
+
image_column: image
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| 21 |
+
learning_rate: 1.0e-05
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| 22 |
+
logging_dir: logs
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| 23 |
+
lr_num_cycles: 1
|
| 24 |
+
lr_power: 1.0
|
| 25 |
+
lr_scheduler: constant
|
| 26 |
+
lr_warmup_steps: 500
|
| 27 |
+
max_grad_norm: 1.0
|
| 28 |
+
max_train_samples: null
|
| 29 |
+
max_train_steps: 90
|
| 30 |
+
mixed_precision: fp16
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| 31 |
+
num_train_epochs: 15
|
| 32 |
+
num_validation_images: 4
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| 33 |
+
output_dir: ./controlnet_persian_text_v1
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| 34 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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| 35 |
+
proportion_empty_prompts: 0
|
| 36 |
+
push_to_hub: true
|
| 37 |
+
report_to: tensorboard
|
| 38 |
+
resolution: 512
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| 39 |
+
resume_from_checkpoint: null
|
| 40 |
+
revision: null
|
| 41 |
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scale_lr: false
|
| 42 |
+
seed: null
|
| 43 |
+
set_grads_to_none: false
|
| 44 |
+
tokenizer_name: null
|
| 45 |
+
tracker_project_name: train_controlnet_persian
|
| 46 |
+
train_batch_size: 4
|
| 47 |
+
train_data_dir: ./final_dataset
|
| 48 |
+
use_8bit_adam: false
|
| 49 |
+
validation_steps: 1000
|
| 50 |
+
variant: null
|
logs/train_controlnet_persian/events.out.tfevents.1757353931.0f16519829e8.4893.0
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logs/train_controlnet_persian/events.out.tfevents.1757354519.0f16519829e8.7961.0
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