End of training
Browse files- 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-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-lora/1726200113.7252104/events.out.tfevents.1726200113.autodl-container-87e947af6e-f33f28f5.1687.1 +3 -0
- logs/dreambooth-lora/1726200113.7282557/hparams.yml +56 -0
- logs/dreambooth-lora/1726202087.2857237/events.out.tfevents.1726202087.autodl-container-87e947af6e-f33f28f5.2554.1 +3 -0
- logs/dreambooth-lora/1726202087.288974/hparams.yml +56 -0
- logs/dreambooth-lora/1726202324.8674881/events.out.tfevents.1726202324.autodl-container-87e947af6e-f33f28f5.2647.1 +3 -0
- logs/dreambooth-lora/1726202324.8697906/hparams.yml +56 -0
- logs/dreambooth-lora/1726203258.8641024/events.out.tfevents.1726203258.autodl-container-87e947af6e-f33f28f5.2902.1 +3 -0
- logs/dreambooth-lora/1726203258.8666027/hparams.yml +56 -0
- logs/dreambooth-lora/1726203720.7671719/events.out.tfevents.1726203720.autodl-container-87e947af6e-f33f28f5.3040.1 +3 -0
- logs/dreambooth-lora/1726203720.769867/hparams.yml +56 -0
- logs/dreambooth-lora/1726204174.0120597/events.out.tfevents.1726204174.autodl-container-87e947af6e-f33f28f5.3187.1 +3 -0
- logs/dreambooth-lora/1726204174.0143757/hparams.yml +56 -0
- logs/dreambooth-lora/1726205520.1021104/events.out.tfevents.1726205520.autodl-container-87e947af6e-f33f28f5.3791.1 +3 -0
- logs/dreambooth-lora/1726205520.1067321/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1726200113.autodl-container-87e947af6e-f33f28f5.1687.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726202087.autodl-container-87e947af6e-f33f28f5.2554.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726202324.autodl-container-87e947af6e-f33f28f5.2647.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726203258.autodl-container-87e947af6e-f33f28f5.2902.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726203720.autodl-container-87e947af6e-f33f28f5.3040.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726204174.autodl-container-87e947af6e-f33f28f5.3187.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726205520.autodl-container-87e947af6e-f33f28f5.3791.0 +3 -0
- logs/dreambooth/1726201767.328983/events.out.tfevents.1726201767.autodl-container-87e947af6e-f33f28f5.2359.1 +3 -0
- logs/dreambooth/1726201767.3318293/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1726201767.autodl-container-87e947af6e-f33f28f5.2359.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
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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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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instance_prompt: a photo of sks dog
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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 - yangHhHT/dog_cute
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog 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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checkpoint-1000/optimizer.bin
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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scheduler.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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size 14567
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checkpoint-500/scheduler.bin
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logs/dreambooth-lora/1726200113.7252104/events.out.tfevents.1726200113.autodl-container-87e947af6e-f33f28f5.1687.1
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logs/dreambooth-lora/1726200113.7282557/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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| 6 |
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center_crop: false
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| 7 |
+
checkpointing_steps: 500
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| 8 |
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checkpoints_total_limit: null
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| 9 |
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class_data_dir: null
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| 10 |
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class_labels_conditioning: null
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| 11 |
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class_prompt: null
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| 12 |
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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: /root/autodl-tmp/diffusers/datasets/
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instance_prompt: a photo of sks dog
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learning_rate: 5.0e-06
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local_rank: -1
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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: 0
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| 27 |
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max_grad_norm: 1.0
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+
max_train_steps: 400
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 200
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num_validation_images: 4
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output_dir: dog_cute
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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rank: 4
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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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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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| 49 |
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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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| 52 |
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use_8bit_adam: false
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validation_epochs: 50
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| 54 |
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validation_prompt: null
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| 55 |
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variant: null
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| 56 |
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with_prior_preservation: false
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logs/dreambooth-lora/1726202087.2857237/events.out.tfevents.1726202087.autodl-container-87e947af6e-f33f28f5.2554.1
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version https://git-lfs.github.com/spec/v1
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size 2565
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logs/dreambooth-lora/1726202087.288974/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
|
| 3 |
+
adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
| 5 |
+
allow_tf32: false
|
| 6 |
+
center_crop: false
|
| 7 |
+
checkpointing_steps: 500
|
| 8 |
+
checkpoints_total_limit: null
|
| 9 |
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class_data_dir: null
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| 10 |
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class_labels_conditioning: null
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| 11 |
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class_prompt: null
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| 12 |
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dataloader_num_workers: 0
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| 13 |
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enable_xformers_memory_efficient_attention: false
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| 14 |
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gradient_accumulation_steps: 1
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| 15 |
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gradient_checkpointing: false
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| 16 |
+
hub_model_id: null
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| 17 |
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hub_token: null
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| 18 |
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instance_data_dir: /root/autodl-tmp/diffusers/datasets/dogs/
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| 19 |
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instance_prompt: a photo of sks dog
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| 20 |
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learning_rate: 5.0e-06
|
| 21 |
+
local_rank: -1
|
| 22 |
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logging_dir: logs
|
| 23 |
+
lr_num_cycles: 1
|
| 24 |
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lr_power: 1.0
|
| 25 |
+
lr_scheduler: constant
|
| 26 |
+
lr_warmup_steps: 0
|
| 27 |
+
max_grad_norm: 1.0
|
| 28 |
+
max_train_steps: 400
|
| 29 |
+
mixed_precision: null
|
| 30 |
+
num_class_images: 100
|
| 31 |
+
num_train_epochs: 80
|
| 32 |
+
num_validation_images: 4
|
| 33 |
+
output_dir: dog_cute
|
| 34 |
+
pre_compute_text_embeddings: false
|
| 35 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 36 |
+
prior_generation_precision: null
|
| 37 |
+
prior_loss_weight: 1.0
|
| 38 |
+
push_to_hub: true
|
| 39 |
+
rank: 4
|
| 40 |
+
report_to: tensorboard
|
| 41 |
+
resolution: 512
|
| 42 |
+
resume_from_checkpoint: null
|
| 43 |
+
revision: null
|
| 44 |
+
sample_batch_size: 4
|
| 45 |
+
scale_lr: false
|
| 46 |
+
seed: null
|
| 47 |
+
text_encoder_use_attention_mask: false
|
| 48 |
+
tokenizer_max_length: null
|
| 49 |
+
tokenizer_name: null
|
| 50 |
+
train_batch_size: 1
|
| 51 |
+
train_text_encoder: false
|
| 52 |
+
use_8bit_adam: false
|
| 53 |
+
validation_epochs: 50
|
| 54 |
+
validation_prompt: null
|
| 55 |
+
variant: null
|
| 56 |
+
with_prior_preservation: false
|
logs/dreambooth-lora/1726202324.8674881/events.out.tfevents.1726202324.autodl-container-87e947af6e-f33f28f5.2647.1
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size 2565
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logs/dreambooth-lora/1726202324.8697906/hparams.yml
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