End of training
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- README.md +43 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scheduler.bin +3 -0
- logs/dreambooth-lora/1730956184.2445676/events.out.tfevents.1730956184.R2703.2970633.1 +3 -0
- logs/dreambooth-lora/1730956184.2485118/hparams.yml +71 -0
- logs/dreambooth-lora/1730956713.8442361/events.out.tfevents.1730956713.R2703.2996149.1 +3 -0
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- logs/dreambooth-lora/1730957269.8368917/hparams.yml +71 -0
- logs/dreambooth-lora/1730957827.8245912/events.out.tfevents.1730957827.R2703.3020908.1 +3 -0
- logs/dreambooth-lora/1730957827.8289847/hparams.yml +71 -0
- logs/dreambooth-lora/1730958376.889757/events.out.tfevents.1730958376.R2703.3033500.1 +3 -0
- logs/dreambooth-lora/1730958376.894229/hparams.yml +71 -0
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- logs/dreambooth-lora/1730959475.7533808/events.out.tfevents.1730959475.R2703.3058535.1 +3 -0
- logs/dreambooth-lora/1730959475.758119/hparams.yml +71 -0
- logs/dreambooth-lora/1730960021.0268004/events.out.tfevents.1730960021.R2703.3070752.1 +3 -0
- logs/dreambooth-lora/1730960021.03162/hparams.yml +71 -0
- logs/dreambooth-lora/1730960564.0624669/events.out.tfevents.1730960564.R2703.3082838.1 +3 -0
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README.md
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---
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base_model: CompVis/stable-diffusion-v1-4
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- diffusers
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- lora
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- diffusers-training
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- if
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- if-diffusers
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inference: true
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instance_prompt: a sks backpack
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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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should probably proofread and complete it, then remove this comment. -->
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# LoRA DreamBooth - yj373/LoRA-DreamBooth-backpack-v1-4
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a sks backpack using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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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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center_crop: false
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checkpointing_steps: 200
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checkpoints_total_limit: null
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class_data_dir: output/class_data/backpack
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class_labels_conditioning: null
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class_prompt: a backpack
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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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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instance_data_dir: Dataset/DreamBooth/backpack
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instance_prompt: a sks backpack
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instance_seg_dir: Dataset/DreamBooth/backpack_seg
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learning_rate: 1.4943209579815197e-05
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local_rank: -1
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logging_dir: logs
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lora: false
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lora_alpha: 32
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lora_bias: none
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lora_dropout: 0.0
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lora_r: 19
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lora_text_encoder_alpha: 32
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lora_text_encoder_bias: none
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lora_text_encoder_dropout: 0.0
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lora_text_encoder_r: 8
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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: 0
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max_grad_norm: 1.0
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max_train_steps: 1000
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mixed_precision: null
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mse_snr_gamma: null
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mse_weight: 1.0
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num_class_images: 100
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num_train_epochs: 10
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num_validation_images: 4
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offset_noise: false
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output_dir: output/LoRA-DreamBooth-backpack-v1-4
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: /dev/shm/alexJiang/source/SD1_4
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prior_generation_precision: null
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prior_loss_weight: 0.1328962850747462
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push_to_hub: false
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reg_snr_gamma: null
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reg_snr_mode: 0
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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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sample_batch_size: 4
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scale_lr: false
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seed: null
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skip_save_text_encoder: false
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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validation_epochs: 50
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validation_prompt: null
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variant: null
|
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with_prior_preservation: true
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logs/dreambooth-lora/1730963324.5692537/events.out.tfevents.1730963324.R2703.3145379.1
ADDED
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size 3380
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logs/dreambooth-lora/1730963324.574002/hparams.yml
ADDED
@@ -0,0 +1,71 @@
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adam_beta1: 0.9
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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hub_token: null
|
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instance_data_dir: Dataset/DreamBooth/backpack
|
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instance_prompt: a sks backpack
|
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instance_seg_dir: Dataset/DreamBooth/backpack_seg
|
21 |
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learning_rate: 8.09299626598974e-05
|
22 |
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local_rank: -1
|
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logging_dir: logs
|
24 |
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lora: false
|
25 |
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lora_alpha: 32
|
26 |
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lora_bias: none
|
27 |
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lora_dropout: 0.0
|
28 |
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lora_r: 24
|
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lora_text_encoder_alpha: 32
|
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|
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|
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lora_text_encoder_r: 8
|
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|
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lr_power: 1.0
|
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|
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lr_warmup_steps: 0
|
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max_grad_norm: 1.0
|
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max_train_steps: 1000
|
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mixed_precision: null
|
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|
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mse_weight: 1.0
|
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num_class_images: 100
|
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num_train_epochs: 10
|
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num_validation_images: 4
|
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offset_noise: false
|
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output_dir: output/LoRA-DreamBooth-backpack-v1-4
|
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pre_compute_text_embeddings: false
|
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pretrained_model_name_or_path: /dev/shm/alexJiang/source/SD1_4
|
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prior_generation_precision: null
|
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prior_loss_weight: 0.905541701027509
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|
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|
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report_to: tensorboard
|
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resolution: 512
|
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revision: null
|
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|
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|
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|
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|
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|
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validation_prompt: null
|
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variant: null
|
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with_prior_preservation: true
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logs/dreambooth-lora/1730963871.5021994/events.out.tfevents.1730963871.R2703.3157657.1
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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