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trained-sd3-lora

Text-to-Image
Diffusers
TensorBoard
diffusers-training
sd3
sd3-diffusers
template:sd-lora
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Files changed (11) hide show
  1. README.md +57 -0
  2. logs/dreambooth-sd3-lora/1718623611.732331/events.out.tfevents.1718623611.5f78c22962cf.43618.1 +3 -0
  3. logs/dreambooth-sd3-lora/1718623611.7336228/hparams.yml +67 -0
  4. logs/dreambooth-sd3-lora/1718623818.9102495/events.out.tfevents.1718623818.5f78c22962cf.45687.1 +3 -0
  5. logs/dreambooth-sd3-lora/1718623818.9115388/hparams.yml +67 -0
  6. logs/dreambooth-sd3-lora/1718624048.3597517/events.out.tfevents.1718624048.5f78c22962cf.47443.1 +3 -0
  7. logs/dreambooth-sd3-lora/1718624048.3610606/hparams.yml +67 -0
  8. logs/dreambooth-sd3-lora/events.out.tfevents.1718623611.5f78c22962cf.43618.0 +3 -0
  9. logs/dreambooth-sd3-lora/events.out.tfevents.1718623818.5f78c22962cf.45687.0 +3 -0
  10. logs/dreambooth-sd3-lora/events.out.tfevents.1718624048.5f78c22962cf.47443.0 +3 -0
  11. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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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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+ - sd3
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+ - sd3-diffusers
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+ - template:sd-lora
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+ instance_prompt: a photo of FIO, game character
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+ widget: []
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+ ---
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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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+
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+
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+ # SD3 DreamBooth LoRA - anhvth5/trained-sd3-lora
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are anhvth5/trained-sd3-lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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+
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+ ## Trigger words
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+
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+ You should use a photo of FIO, game character to trigger the image generation.
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+
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+ ## Download model
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+
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+ [Download](anhvth5/trained-sd3-lora/tree/main) them in the Files & versions tab.
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+
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+ ## License
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+
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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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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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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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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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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: 0.0001
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+ adam_weight_decay_text_encoder: 0.001
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+ allow_tf32: false
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+ cache_dir: null
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+ caption_column: 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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+ class_data_dir: null
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+ class_prompt: 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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+ 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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+ image_column: image
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+ instance_data_dir: dog
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 1.0e-05
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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_train_steps: 500
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+ mixed_precision: fp16
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+ mode_scale: 1.29
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+ num_class_images: 100
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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: trained-sd3-lora
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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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+ prior_loss_weight: 1.0
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+ prodigy_beta3: null
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+ prodigy_decouple: true
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+ prodigy_safeguard_warmup: true
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+ prodigy_use_bias_correction: true
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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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+ repeats: 1
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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: 0
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 25
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+ validation_prompt: A photo of sks dog in a bucket
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+ variant: null
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+ weighting_scheme: sigma_sqrt
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+ with_prior_preservation: false
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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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+ adam_weight_decay_text_encoder: 0.001
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+ allow_tf32: false
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+ cache_dir: null
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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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+ image_column: image
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+ instance_data_dir: dog
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 1.0e-05
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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_train_steps: 500
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+ mixed_precision: fp16
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+ mode_scale: 1.29
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+ num_class_images: 100
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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: trained-sd3-lora
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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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+ prior_loss_weight: 1.0
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+ prodigy_beta3: null
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+ prodigy_decouple: true
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+ prodigy_safeguard_warmup: true
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+ prodigy_use_bias_correction: true
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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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+ repeats: 1
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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: 0
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 25
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+ validation_prompt: A photo of sks dog in a bucket
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+ variant: null
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+ weighting_scheme: sigma_sqrt
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+ with_prior_preservation: false
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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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+ adam_weight_decay_text_encoder: 0.001
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 1.0e-05
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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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+ max_grad_norm: 1.0
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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_class_images: 100
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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: trained-sd3-lora
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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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+ prior_loss_weight: 1.0
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+ random_flip: false
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+ rank: 4
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+ repeats: 1
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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: 0
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 25
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+ validation_prompt: A photo of sks dog in a bucket
65
+ variant: null
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+ weighting_scheme: sigma_sqrt
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+ with_prior_preservation: false
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