End of training
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- README.md +17 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_model.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_model.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_model.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +28 -0
- learned_embeds-steps-1000.bin +3 -0
- learned_embeds-steps-1500.bin +3 -0
- learned_embeds-steps-2000.bin +3 -0
- learned_embeds-steps-2500.bin +3 -0
- learned_embeds-steps-3000.bin +3 -0
- learned_embeds-steps-500.bin +3 -0
- learned_embeds.bin +3 -0
- logs/textual_inversion/1688101533.9215612/events.out.tfevents.1688101533.m-gem.33835.1 +3 -0
- logs/textual_inversion/1688101533.922251/hparams.yml +46 -0
- logs/textual_inversion/1688101622.0032752/events.out.tfevents.1688101622.m-gem.45053.1 +3 -0
- logs/textual_inversion/1688101622.0041077/hparams.yml +46 -0
- logs/textual_inversion/1688101708.8463595/events.out.tfevents.1688101708.m-gem.47157.1 +3 -0
- logs/textual_inversion/1688101708.8470001/hparams.yml +46 -0
- logs/textual_inversion/1688101743.2330825/events.out.tfevents.1688101743.m-gem.47989.1 +3 -0
- logs/textual_inversion/1688101743.2340202/hparams.yml +46 -0
- logs/textual_inversion/1688101846.7758293/events.out.tfevents.1688101846.m-gem.50455.1 +3 -0
- logs/textual_inversion/1688101846.7764716/hparams.yml +46 -0
- logs/textual_inversion/1688101917.4964945/events.out.tfevents.1688101917.m-gem.52179.1 +3 -0
- logs/textual_inversion/1688101917.497187/hparams.yml +46 -0
- logs/textual_inversion/1688101936.7056081/events.out.tfevents.1688101936.m-gem.52694.1 +3 -0
- logs/textual_inversion/1688101936.7062624/hparams.yml +46 -0
- logs/textual_inversion/events.out.tfevents.1688101533.m-gem.33835.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1688101622.m-gem.45053.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1688101708.m-gem.47157.0 +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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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- textual_inversion
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inference: true
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---
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# Textual inversion text2image fine-tuning - camus-ng/textual_inversion_cat
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These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
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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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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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hub_model_id: null
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hub_token: null
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initializer_token: toy
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learnable_property: object
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learning_rate: 0.002
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local_rank: 0
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logging_dir: logs
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lr_num_cycles: 1
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_train_steps: 3000
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mixed_precision: 'no'
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num_train_epochs: 20
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num_validation_images: 4
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num_vectors: 1
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output_dir: textual_inversion_cat
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placeholder_token: <cat-toy>
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lr_scheduler: constant
|
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|
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|
24 |
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|
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|
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|
27 |
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|
28 |
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output_dir: textual_inversion_cat
|
29 |
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placeholder_token: <cat-toy>
|
30 |
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
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push_to_hub: true
|
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repeats: 100
|
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report_to: tensorboard
|
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|
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|
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|
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|
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|
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tokenizer_name: null
|
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train_batch_size: 1
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train_data_dir: ./cat
|
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validation_epochs: null
|
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validation_prompt: null
|
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validation_steps: 100
|
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