moobastresh
commited on
Commit
•
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Parent(s):
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End of training
Browse files- README.md +43 -0
- feature_extractor/preprocessor_config.json +27 -0
- logs/dreambooth/1733941950.5340145/events.out.tfevents.1733941950.jupyter-yzhu16.634.1 +3 -0
- logs/dreambooth/1733941950.5483165/hparams.yml +60 -0
- logs/dreambooth/1733946407.934272/events.out.tfevents.1733946407.jupyter-yzhu16.536.1 +3 -0
- logs/dreambooth/1733946407.9412374/hparams.yml +60 -0
- logs/dreambooth/1733946770.0679677/events.out.tfevents.1733946770.jupyter-yzhu16.704.1 +3 -0
- logs/dreambooth/1733946770.0746872/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1733941950.jupyter-yzhu16.634.0 +3 -0
- logs/dreambooth/events.out.tfevents.1733946407.jupyter-yzhu16.536.0 +3 -0
- logs/dreambooth/events.out.tfevents.1733946770.jupyter-yzhu16.704.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +29 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +31 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.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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inference: true
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instance_prompt: a photo of sks dog
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tags:
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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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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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# DreamBooth - moobastresh/path-to-save-model
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth 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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feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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logs/dreambooth/1733941950.5340145/events.out.tfevents.1733941950.jupyter-yzhu16.634.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a883f203837063bf6f0059c1445b5b7d6f8d712d4b134d9bf1ffd78ae8044166
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size 2752
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logs/dreambooth/1733941950.5483165/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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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_labels_conditioning: null
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class_prompt: null
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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: dog
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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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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: 67
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num_validation_images: 4
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offset_noise: false
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output_dir: path-to-save-model
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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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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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set_grads_to_none: false
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skip_save_text_encoder: false
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snr_gamma: null
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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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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use_8bit_adam: false
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validation_prompt: null
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validation_scheduler: DPMSolverMultistepScheduler
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validation_steps: 100
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variant: null
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with_prior_preservation: false
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logs/dreambooth/1733946407.934272/events.out.tfevents.1733946407.jupyter-yzhu16.536.1
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version https://git-lfs.github.com/spec/v1
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size 2752
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logs/dreambooth/1733946407.9412374/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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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_labels_conditioning: null
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class_prompt: null
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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: dog
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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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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: 67
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num_validation_images: 4
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offset_noise: false
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output_dir: path-to-save-model
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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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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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set_grads_to_none: false
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skip_save_text_encoder: false
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snr_gamma: null
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+
text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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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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+
use_8bit_adam: false
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+
validation_prompt: null
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+
validation_scheduler: DPMSolverMultistepScheduler
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+
validation_steps: 100
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+
variant: null
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with_prior_preservation: false
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logs/dreambooth/1733946770.0679677/events.out.tfevents.1733946770.jupyter-yzhu16.704.1
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth/1733946770.0746872/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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+
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_labels_conditioning: null
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class_prompt: null
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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: dog
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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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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: 80
|
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+
num_validation_images: 4
|
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+
offset_noise: false
|
34 |
+
output_dir: path-to-save-model
|
35 |
+
pre_compute_text_embeddings: false
|
36 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
37 |
+
prior_generation_precision: null
|
38 |
+
prior_loss_weight: 1.0
|
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+
push_to_hub: true
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+
report_to: tensorboard
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+
resolution: 512
|
42 |
+
resume_from_checkpoint: null
|
43 |
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revision: null
|
44 |
+
sample_batch_size: 4
|
45 |
+
scale_lr: false
|
46 |
+
seed: null
|
47 |
+
set_grads_to_none: false
|
48 |
+
skip_save_text_encoder: false
|
49 |
+
snr_gamma: null
|
50 |
+
text_encoder_use_attention_mask: false
|
51 |
+
tokenizer_max_length: null
|
52 |
+
tokenizer_name: null
|
53 |
+
train_batch_size: 1
|
54 |
+
train_text_encoder: false
|
55 |
+
use_8bit_adam: false
|
56 |
+
validation_prompt: null
|
57 |
+
validation_scheduler: DPMSolverMultistepScheduler
|
58 |
+
validation_steps: 100
|
59 |
+
variant: null
|
60 |
+
with_prior_preservation: false
|
logs/dreambooth/events.out.tfevents.1733941950.jupyter-yzhu16.634.0
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model_index.json
ADDED
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{
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null,
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safety_checker/config.json
ADDED
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safety_checker/model.safetensors
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scheduler/scheduler_config.json
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text_encoder/config.json
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text_encoder/model.safetensors
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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tokenizer/tokenizer_config.json
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unet/config.json
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
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