End of training
Browse files- <new1>.bin +3 -0
- README.md +22 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/pytorch_model_1.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- logs/custom-diffusion/1701807044.4929957/events.out.tfevents.1701807044.cudahpc06.4135254.1 +3 -0
- logs/custom-diffusion/1701807044.494646/hparams.yml +57 -0
- logs/custom-diffusion/1701807197.5861459/events.out.tfevents.1701807197.cudahpc06.4140632.1 +3 -0
- logs/custom-diffusion/1701807197.5878778/hparams.yml +57 -0
- logs/custom-diffusion/1701807249.4902263/events.out.tfevents.1701807249.cudahpc06.4141496.1 +3 -0
- logs/custom-diffusion/1701807249.492206/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1701807044.cudahpc06.4135254.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1701807197.cudahpc06.4140632.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1701807249.cudahpc06.4141496.0 +3 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<new1>.bin
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: photo of a <new1> dog
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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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- custom-diffusion
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inference: true
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---
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# Custom Diffusion - SidXXD/single-concept-dog
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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checkpoint-250/custom_checkpoint_0.pkl
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checkpoint-250/optimizer.bin
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checkpoint-250/pytorch_model.bin
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checkpoint-250/pytorch_model_1.bin
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checkpoint-250/random_states_0.pkl
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checkpoint-250/scheduler.bin
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logs/custom-diffusion/1701807044.4929957/events.out.tfevents.1701807044.cudahpc06.4135254.1
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logs/custom-diffusion/1701807044.494646/hparams.yml
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adam_beta1: 0.9
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| 2 |
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adam_beta2: 0.999
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| 3 |
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adam_epsilon: 1.0e-08
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| 4 |
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adam_weight_decay: 0.01
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| 5 |
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allow_tf32: false
|
| 6 |
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center_crop: false
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| 7 |
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checkpointing_steps: 250
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| 8 |
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checkpoints_total_limit: null
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class_data_dir: null
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| 10 |
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class_prompt: null
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| 11 |
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concepts_list: null
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| 12 |
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dataloader_num_workers: 2
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| 13 |
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enable_xformers_memory_efficient_attention: false
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| 14 |
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freeze_model: crossattn_kv
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| 15 |
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gradient_accumulation_steps: 1
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| 16 |
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gradient_checkpointing: false
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| 17 |
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hflip: true
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| 18 |
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hub_model_id: null
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| 19 |
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hub_token: null
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| 20 |
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initializer_token: ktn+pll+ucd
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| 21 |
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instance_data_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog-a
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| 22 |
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instance_prompt: photo of a <new1> dog
|
| 23 |
+
learning_rate: 1.0e-05
|
| 24 |
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local_rank: -1
|
| 25 |
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logging_dir: logs
|
| 26 |
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lr_scheduler: constant
|
| 27 |
+
lr_warmup_steps: 0
|
| 28 |
+
max_grad_norm: 1.0
|
| 29 |
+
max_train_steps: 250
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| 30 |
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mixed_precision: null
|
| 31 |
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modifier_token: <new1>
|
| 32 |
+
no_safe_serialization: true
|
| 33 |
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noaug: false
|
| 34 |
+
num_class_images: 200
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| 35 |
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num_train_epochs: 1
|
| 36 |
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num_validation_images: 2
|
| 37 |
+
output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept-dog
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| 38 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 39 |
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prior_generation_precision: null
|
| 40 |
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prior_loss_weight: 0.0
|
| 41 |
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push_to_hub: true
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| 42 |
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real_prior: false
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| 43 |
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report_to: tensorboard
|
| 44 |
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resolution: 512
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| 45 |
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resume_from_checkpoint: null
|
| 46 |
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revision: null
|
| 47 |
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sample_batch_size: 4
|
| 48 |
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scale_lr: true
|
| 49 |
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seed: 42
|
| 50 |
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set_grads_to_none: false
|
| 51 |
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tokenizer_name: null
|
| 52 |
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train_batch_size: 2
|
| 53 |
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use_8bit_adam: false
|
| 54 |
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validation_prompt: null
|
| 55 |
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validation_steps: 50
|
| 56 |
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variant: null
|
| 57 |
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with_prior_preservation: false
|
logs/custom-diffusion/1701807197.5861459/events.out.tfevents.1701807197.cudahpc06.4140632.1
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version https://git-lfs.github.com/spec/v1
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logs/custom-diffusion/1701807197.5878778/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
|
| 4 |
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adam_weight_decay: 0.01
|
| 5 |
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allow_tf32: false
|
| 6 |
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center_crop: false
|
| 7 |
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checkpointing_steps: 250
|
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checkpoints_total_limit: null
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class_data_dir: null
|
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class_prompt: null
|
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concepts_list: null
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dataloader_num_workers: 2
|
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enable_xformers_memory_efficient_attention: false
|
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freeze_model: crossattn_kv
|
| 15 |
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gradient_accumulation_steps: 1
|
| 16 |
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gradient_checkpointing: false
|
| 17 |
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hflip: true
|
| 18 |
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hub_model_id: null
|
| 19 |
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hub_token: null
|
| 20 |
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initializer_token: ktn+pll+ucd
|
| 21 |
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instance_data_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog-a
|
| 22 |
+
instance_prompt: photo of a <new1> dog
|
| 23 |
+
learning_rate: 1.0e-05
|
| 24 |
+
local_rank: -1
|
| 25 |
+
logging_dir: logs
|
| 26 |
+
lr_scheduler: constant
|
| 27 |
+
lr_warmup_steps: 0
|
| 28 |
+
max_grad_norm: 1.0
|
| 29 |
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max_train_steps: 250
|
| 30 |
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mixed_precision: null
|
| 31 |
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modifier_token: <new1>
|
| 32 |
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no_safe_serialization: true
|
| 33 |
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noaug: false
|
| 34 |
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num_class_images: 200
|
| 35 |
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num_train_epochs: 1
|
| 36 |
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num_validation_images: 2
|
| 37 |
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output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept-dog
|
| 38 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 39 |
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prior_generation_precision: null
|
| 40 |
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prior_loss_weight: 0.0
|
| 41 |
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push_to_hub: true
|
| 42 |
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real_prior: false
|
| 43 |
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report_to: tensorboard
|
| 44 |
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resolution: 512
|
| 45 |
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resume_from_checkpoint: null
|
| 46 |
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revision: null
|
| 47 |
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sample_batch_size: 4
|
| 48 |
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scale_lr: true
|
| 49 |
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seed: 42
|
| 50 |
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set_grads_to_none: false
|
| 51 |
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tokenizer_name: null
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| 52 |
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train_batch_size: 2
|
| 53 |
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use_8bit_adam: false
|
| 54 |
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validation_prompt: null
|
| 55 |
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validation_steps: 50
|
| 56 |
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variant: null
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| 57 |
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with_prior_preservation: false
|
logs/custom-diffusion/1701807249.4902263/events.out.tfevents.1701807249.cudahpc06.4141496.1
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logs/custom-diffusion/1701807249.492206/hparams.yml
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@@ -0,0 +1,57 @@
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| 1 |
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adam_beta1: 0.9
|
| 2 |
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adam_beta2: 0.999
|
| 3 |
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adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
| 5 |
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allow_tf32: false
|
| 6 |
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center_crop: false
|
| 7 |
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checkpointing_steps: 250
|
| 8 |
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checkpoints_total_limit: null
|
| 9 |
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class_data_dir: null
|
| 10 |
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class_prompt: null
|
| 11 |
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concepts_list: null
|
| 12 |
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dataloader_num_workers: 2
|
| 13 |
+
enable_xformers_memory_efficient_attention: false
|
| 14 |
+
freeze_model: crossattn_kv
|
| 15 |
+
gradient_accumulation_steps: 1
|
| 16 |
+
gradient_checkpointing: false
|
| 17 |
+
hflip: true
|
| 18 |
+
hub_model_id: null
|
| 19 |
+
hub_token: null
|
| 20 |
+
initializer_token: ktn+pll+ucd
|
| 21 |
+
instance_data_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog-a
|
| 22 |
+
instance_prompt: photo of a <new1> dog
|
| 23 |
+
learning_rate: 1.0e-05
|
| 24 |
+
local_rank: -1
|
| 25 |
+
logging_dir: logs
|
| 26 |
+
lr_scheduler: constant
|
| 27 |
+
lr_warmup_steps: 0
|
| 28 |
+
max_grad_norm: 1.0
|
| 29 |
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max_train_steps: 250
|
| 30 |
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mixed_precision: null
|
| 31 |
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modifier_token: <new1>
|
| 32 |
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no_safe_serialization: true
|
| 33 |
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noaug: false
|
| 34 |
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num_class_images: 200
|
| 35 |
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num_train_epochs: 1
|
| 36 |
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num_validation_images: 2
|
| 37 |
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output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept-dog
|
| 38 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 39 |
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prior_generation_precision: null
|
| 40 |
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prior_loss_weight: 0.0
|
| 41 |
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push_to_hub: true
|
| 42 |
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real_prior: false
|
| 43 |
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report_to: tensorboard
|
| 44 |
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resolution: 512
|
| 45 |
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resume_from_checkpoint: null
|
| 46 |
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revision: null
|
| 47 |
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sample_batch_size: 4
|
| 48 |
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scale_lr: true
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