kaytoo2022
commited on
Commit
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End of training
Browse files- README.md +60 -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/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-sd3-lora-miniature/1728858917.998381/events.out.tfevents.1728858917.c2a484ed3563.3114.1 +3 -0
- logs/dreambooth-sd3-lora-miniature/1728858918.0002513/hparams.yml +52 -0
- logs/dreambooth-sd3-lora-miniature/1728860230.4312408/events.out.tfevents.1728860230.c2a484ed3563.8624.1 +3 -0
- logs/dreambooth-sd3-lora-miniature/1728860230.4329953/hparams.yml +52 -0
- logs/dreambooth-sd3-lora-miniature/events.out.tfevents.1728858917.c2a484ed3563.3114.0 +3 -0
- logs/dreambooth-sd3-lora-miniature/events.out.tfevents.1728860230.c2a484ed3563.8624.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-3-medium-diffusers
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library_name: diffusers
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license: openrail++
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tags:
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- sd3
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- sd3-diffusers
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- template:sd-lora
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instance_prompt: b3lla dog
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widget: []
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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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# SD3 DreamBooth LoRA - kaytoo2022/bella-sd3
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<Gallery />
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## Model description
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These are kaytoo2022/bella-sd3 DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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## Trigger words
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You should use b3lla dog to trigger the image generation.
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## Download model
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[Download](kaytoo2022/bella-sd3/tree/main) them in the Files & versions tab.
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## License
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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE).
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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-500/optimizer.bin
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size 2609210
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scaler.pt
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size 988
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth-sd3-lora-miniature/1728858917.998381/events.out.tfevents.1728858917.c2a484ed3563.3114.1
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth-sd3-lora-miniature/1728858918.0002513/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: 0.0001
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allow_tf32: false
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cache_dir: null
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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data_df_path: sample_embeddings.parquet
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dataloader_num_workers: 0
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gradient_accumulation_steps: 4
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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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instance_data_dir: dog
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instance_prompt: b3lla dog
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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logit_mean: 0.0
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logit_std: 1.0
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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_sequence_length: 77
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max_train_steps: 500
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mixed_precision: fp16
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mode_scale: 1.29
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num_train_epochs: 250
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num_validation_images: 4
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optimizer: AdamW
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output_dir: bella-sd3
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pretrained_model_name_or_path: stabilityai/stable-diffusion-3-medium-diffusers
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prior_generation_precision: null
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push_to_hub: true
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random_flip: false
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rank: 4
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report_to: tensorboard
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resolution: 1024
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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: 0
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train_batch_size: 1
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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variant: null
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weighting_scheme: logit_normal
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logs/dreambooth-sd3-lora-miniature/1728860230.4312408/events.out.tfevents.1728860230.c2a484ed3563.8624.1
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size 2445
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logs/dreambooth-sd3-lora-miniature/1728860230.4329953/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: 0.0001
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allow_tf32: false
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cache_dir: null
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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data_df_path: sample_embeddings.parquet
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dataloader_num_workers: 0
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gradient_accumulation_steps: 4
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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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instance_data_dir: dog
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instance_prompt: b3lla dog
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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logit_mean: 0.0
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logit_std: 1.0
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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_sequence_length: 77
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max_train_steps: 500
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mixed_precision: fp16
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mode_scale: 1.29
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num_train_epochs: 250
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num_validation_images: 4
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optimizer: AdamW
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output_dir: bella-sd3
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pretrained_model_name_or_path: stabilityai/stable-diffusion-3-medium-diffusers
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prior_generation_precision: null
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push_to_hub: true
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+
random_flip: false
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rank: 4
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report_to: tensorboard
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resolution: 1024
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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: 0
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train_batch_size: 1
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use_8bit_adam: true
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validation_epochs: 50
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+
validation_prompt: null
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+
variant: null
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weighting_scheme: logit_normal
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logs/dreambooth-sd3-lora-miniature/events.out.tfevents.1728858917.c2a484ed3563.3114.0
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logs/dreambooth-sd3-lora-miniature/events.out.tfevents.1728860230.c2a484ed3563.8624.0
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4742848
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