End of training
Browse files- README.md +62 -0
- logs/dreambooth-lora-sd-xl/1717344973.7859545/events.out.tfevents.1717344973.33a9a8682cb4.11887.1 +3 -0
- logs/dreambooth-lora-sd-xl/1717344973.7880805/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/1717378933.4170268/events.out.tfevents.1717378933.33a9a8682cb4.150533.1 +3 -0
- logs/dreambooth-lora-sd-xl/1717378933.4189498/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/1717379060.3341067/events.out.tfevents.1717379060.33a9a8682cb4.151283.1 +3 -0
- logs/dreambooth-lora-sd-xl/1717379060.3359814/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1717344973.33a9a8682cb4.11887.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1717378933.33a9a8682cb4.150533.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1717379060.33a9a8682cb4.151283.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
- pytorch_lora_weights_kohya.safetensors +3 -0
README.md
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---
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license: openrail++
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library_name: diffusers
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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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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of srcy1 woman
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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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# SDXL LoRA DreamBooth - PostWonder/srcy_v5_model
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<Gallery />
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## Model description
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These are PostWonder/srcy_v5_model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a photo of srcy1 woman to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](PostWonder/srcy_v5_model/tree/main) them in the Files & versions tab.
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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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logs/dreambooth-lora-sd-xl/1717344973.7859545/events.out.tfevents.1717344973.33a9a8682cb4.11887.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d5fb9566b3597ed9fb8fc6daa4c433743f975cf19b4a55bb08b3acdecf859f7
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size 3338
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logs/dreambooth-lora-sd-xl/1717344973.7880805/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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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: PostWonder/srcy_v4
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do_edm_style_training: false
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enable_xformers_memory_efficient_attention: true
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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 a srcy woman
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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: 600
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 43
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num_validation_images: 4
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optimizer: AdamW
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output_dir: /content/drive/MyDrive/models/srcy_v4
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output_kohya_format: true
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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: true
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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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logs/dreambooth-lora-sd-xl/1717378933.4170268/events.out.tfevents.1717378933.33a9a8682cb4.150533.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cb021b2366576f61bd949832417a75a7239745e8ac04bd9040947eb5170d7dc
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size 3334
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logs/dreambooth-lora-sd-xl/1717378933.4189498/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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4 |
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adam_weight_decay: 0.0001
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5 |
+
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: PostWonder/srcy_v4
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do_edm_style_training: false
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enable_xformers_memory_efficient_attention: true
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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 a srcy petite woman
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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: 600
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mixed_precision: fp16
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+
num_class_images: 100
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num_train_epochs: 43
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num_validation_images: 4
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optimizer: AdamW
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output_dir: /content/drive/MyDrive/models/srcy_v4
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output_kohya_format: true
|
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+
pretrained_model_name_or_path: RunDiffusion/Juggernaut-X-v10
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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: true
|
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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
|
logs/dreambooth-lora-sd-xl/1717379060.3341067/events.out.tfevents.1717379060.33a9a8682cb4.151283.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8aee418804b6a422f26a20168aab8bda4adb30141346d9d5ff40b28aef358590
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size 3334
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logs/dreambooth-lora-sd-xl/1717379060.3359814/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
|
4 |
+
adam_weight_decay: 0.0001
|
5 |
+
adam_weight_decay_text_encoder: 0.001
|
6 |
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allow_tf32: false
|
7 |
+
cache_dir: null
|
8 |
+
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
|
14 |
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dataloader_num_workers: 0
|
15 |
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dataset_config_name: null
|
16 |
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dataset_name: PostWonder/srcy_v4
|
17 |
+
do_edm_style_training: false
|
18 |
+
enable_xformers_memory_efficient_attention: true
|
19 |
+
gradient_accumulation_steps: 3
|
20 |
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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 a srcy petite woman
|
26 |
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learning_rate: 0.0001
|
27 |
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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
|
32 |
+
lr_warmup_steps: 0
|
33 |
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max_grad_norm: 1.0
|
34 |
+
max_train_steps: 600
|
35 |
+
mixed_precision: fp16
|
36 |
+
num_class_images: 100
|
37 |
+
num_train_epochs: 43
|
38 |
+
num_validation_images: 4
|
39 |
+
optimizer: AdamW
|
40 |
+
output_dir: /content/drive/MyDrive/models/srcy_v4
|
41 |
+
output_kohya_format: true
|
42 |
+
pretrained_model_name_or_path: RunDiffusion/Juggernaut-X-v10
|
43 |
+
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
|
44 |
+
prior_generation_precision: null
|
45 |
+
prior_loss_weight: 1.0
|
46 |
+
prodigy_beta3: null
|
47 |
+
prodigy_decouple: true
|
48 |
+
prodigy_safeguard_warmup: true
|
49 |
+
prodigy_use_bias_correction: true
|
50 |
+
push_to_hub: false
|
51 |
+
random_flip: false
|
52 |
+
rank: 4
|
53 |
+
repeats: 1
|
54 |
+
report_to: tensorboard
|
55 |
+
resolution: 1024
|
56 |
+
resume_from_checkpoint: null
|
57 |
+
revision: null
|
58 |
+
sample_batch_size: 4
|
59 |
+
scale_lr: false
|
60 |
+
seed: 0
|
61 |
+
snr_gamma: 5.0
|
62 |
+
text_encoder_lr: 5.0e-06
|
63 |
+
train_batch_size: 1
|
64 |
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train_text_encoder: true
|
65 |
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use_8bit_adam: true
|
66 |
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use_dora: false
|
67 |
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validation_epochs: 50
|
68 |
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validation_prompt: null
|
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variant: null
|
70 |
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