End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- <new1>.bin +3 -0
- README.md +22 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/pytorch_model_1.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- logs/custom-diffusion/1701163594.247364/events.out.tfevents.1701163594.cudahpc06.3564980.1 +3 -0
- logs/custom-diffusion/1701163594.2503078/hparams.yml +57 -0
- logs/custom-diffusion/1701170351.140421/events.out.tfevents.1701170351.cudahpc06.4076872.1 +3 -0
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- logs/custom-diffusion/1701171362.1616287/hparams.yml +57 -0
- logs/custom-diffusion/1701172408.9617794/events.out.tfevents.1701172408.cudahpc06.25391.1 +3 -0
- logs/custom-diffusion/1701172408.963474/hparams.yml +57 -0
- logs/custom-diffusion/1701266860.7187095/events.out.tfevents.1701266860.cudahpc06.1552513.1 +3 -0
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- logs/custom-diffusion/1701266939.1236663/events.out.tfevents.1701266939.cudahpc06.1553679.1 +3 -0
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- logs/custom-diffusion/1701267153.6168427/events.out.tfevents.1701267153.cudahpc06.1556003.1 +3 -0
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- logs/custom-diffusion/1701274185.8028677/events.out.tfevents.1701274185.cudahpc06.1608315.1 +3 -0
- logs/custom-diffusion/1701274185.804656/hparams.yml +57 -0
- logs/custom-diffusion/1701274373.3565505/events.out.tfevents.1701274373.cudahpc06.1610105.1 +3 -0
- logs/custom-diffusion/1701274373.3581893/hparams.yml +57 -0
- logs/custom-diffusion/1701274539.2611833/events.out.tfevents.1701274539.cudahpc06.1611659.1 +3 -0
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- logs/custom-diffusion/1701274746.114017/events.out.tfevents.1701274746.cudahpc06.1613442.1 +3 -0
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- logs/custom-diffusion/1701274925.316097/events.out.tfevents.1701274925.cudahpc06.1615235.1 +3 -0
- logs/custom-diffusion/1701274925.3177867/hparams.yml +57 -0
- logs/custom-diffusion/1701275028.5873237/events.out.tfevents.1701275028.cudahpc06.1616189.1 +3 -0
- logs/custom-diffusion/1701275028.5890288/hparams.yml +57 -0
- logs/custom-diffusion/1701275180.3704996/events.out.tfevents.1701275180.cudahpc06.1617777.1 +3 -0
- logs/custom-diffusion/1701275180.372183/hparams.yml +57 -0
- logs/custom-diffusion/1701275939.2013106/events.out.tfevents.1701275939.cudahpc06.1630159.1 +3 -0
- logs/custom-diffusion/1701275939.2030966/hparams.yml +57 -0
- logs/custom-diffusion/1701276104.9817998/events.out.tfevents.1701276104.cudahpc06.1633255.1 +3 -0
- logs/custom-diffusion/1701276104.9834576/hparams.yml +57 -0
- logs/custom-diffusion/1701277890.9690824/events.out.tfevents.1701277890.cudahpc06.1656160.1 +3 -0
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- logs/custom-diffusion/1701278035.7170217/events.out.tfevents.1701278035.cudahpc06.1657586.1 +3 -0
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- logs/custom-diffusion/events.out.tfevents.1701163594.cudahpc06.3564980.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1701170351.cudahpc06.4076872.0 +3 -0
<new1>.bin
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: photo of a <new1> cat
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- custom-diffusion
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inference: true
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---
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# Custom Diffusion - SidXXD/path-to-save-model
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> cat using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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checkpoint-250/custom_checkpoint_0.pkl
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checkpoint-250/scheduler.bin
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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: 0.01
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allow_tf32: false
|
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center_crop: false
|
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checkpointing_steps: 250
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
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class_prompt: cat
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concepts_list: null
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dataloader_num_workers: 2
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enable_xformers_memory_efficient_attention: false
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freeze_model: crossattn_kv
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hflip: true
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hub_model_id: null
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hub_token: null
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initializer_token: ktn+pll+ucd
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instance_data_dir: /home/xide/miniconda3/code/data/CustomDiffusion/data/cat
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instance_prompt: photo of a <new1> cat
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learning_rate: 1.0e-05
|
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local_rank: 0
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logging_dir: logs
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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: 250
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mixed_precision: null
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modifier_token: <new1>
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no_safe_serialization: false
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noaug: false
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num_class_images: 200
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num_train_epochs: 1
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num_validation_images: 2
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output_dir: path-to-save-model
|
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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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real_prior: 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: true
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seed: 42
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set_grads_to_none: false
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tokenizer_name: null
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train_batch_size: 2
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use_8bit_adam: false
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validation_prompt: null
|
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validation_steps: 50
|
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variant: null
|
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with_prior_preservation: true
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logs/custom-diffusion/1701170351.140421/events.out.tfevents.1701170351.cudahpc06.4076872.1
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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instance_data_dir: /home/xide/miniconda3/code/data/CustomDiffusion/data/cat
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instance_prompt: photo of a <new1> cat
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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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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: 250
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mixed_precision: null
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modifier_token: <new1>
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no_safe_serialization: false
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num_class_images: 200
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num_validation_images: 2
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output_dir: path-to-save-model
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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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real_prior: true
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validation_steps: 50
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logs/custom-diffusion/1701171362.1598418/events.out.tfevents.1701171362.cudahpc06.4147672.1
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logs/custom-diffusion/1701171362.1616287/hparams.yml
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
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class_prompt: cat
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concepts_list: null
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dataloader_num_workers: 2
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hflip: true
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hub_model_id: null
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hub_token: null
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initializer_token: ktn+pll+ucd
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instance_data_dir: /home/xide/miniconda3/code/data/CustomDiffusion/data/cat
|
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instance_prompt: photo of a <new1> cat
|
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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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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: 250
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mixed_precision: null
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modifier_token: <new1>
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no_safe_serialization: false
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noaug: false
|
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num_class_images: 200
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num_train_epochs: 1
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