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ChoCho66
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corgy_dog_LoRA

Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
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  1. README.md +62 -0
  2. logs/dreambooth-lora-sd-xl/1727243313.1324599/events.out.tfevents.1727243313.217c794a58f2.4670.1 +3 -0
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  4. logs/dreambooth-lora-sd-xl/1727243595.7826648/events.out.tfevents.1727243595.217c794a58f2.6351.1 +3 -0
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  6. logs/dreambooth-lora-sd-xl/1727244509.041198/events.out.tfevents.1727244509.217c794a58f2.10593.1 +3 -0
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  8. logs/dreambooth-lora-sd-xl/events.out.tfevents.1727243313.217c794a58f2.4670.0 +3 -0
  9. logs/dreambooth-lora-sd-xl/events.out.tfevents.1727243595.217c794a58f2.6351.0 +3 -0
  10. logs/dreambooth-lora-sd-xl/events.out.tfevents.1727244509.217c794a58f2.10593.0 +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-xl-base-1.0
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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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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - dora
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+ - template:sd-lora
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ instance_prompt: a photo of TOK dog
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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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+ # SDXL LoRA DreamBooth - ChoCho66/corgy_dog_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 ChoCho66/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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+
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+ ## Trigger words
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+
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+ You should use a photo of TOK dog to trigger the image generation.
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](ChoCho66/corgy_dog_LoRA/tree/main) them in the Files & versions tab.
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+
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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: prompt
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+ center_crop: false
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+ checkpointing_steps: 717
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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: dog
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+ do_edm_style_training: false
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 3
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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: null
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+ instance_prompt: a photo of TOK 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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+ 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: 100
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 50
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+ num_validation_images: 4
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+ optimizer: AdamW
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+ output_dir: corgy_dog_LoRA
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+ output_kohya_format: false
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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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: false
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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: 1024
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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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+ snr_gamma: 5.0
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ train_text_encoder: false
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+ use_8bit_adam: true
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+ use_dora: 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: false
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_weight_decay: 0.0001
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+ adam_weight_decay_text_encoder: 0.001
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+ gradient_checkpointing: true
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+ hub_token: null
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+ image_column: image
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+ instance_data_dir: null
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+ instance_prompt: a photo of TOK 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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+ 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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+ num_class_images: 100
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+ num_train_epochs: 50
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+ num_validation_images: 4
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+ optimizer: AdamW
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+ output_dir: corgy_dog_LoRA
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+ output_kohya_format: false
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ prior_generation_precision: null
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ train_text_encoder: false
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+ use_dora: 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: false
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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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+ num_validation_images: 4
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+ optimizer: AdamW
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+ output_kohya_format: false
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ train_text_encoder: false
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+ validation_prompt: null
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+ variant: null
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