End of training
Browse files- 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/1689072905.693046/events.out.tfevents.1689072905.ip-172-31-25-234.1798668.1 +3 -0
- logs/textual_inversion/1689072905.6944845/hparams.yml +46 -0
- logs/textual_inversion/events.out.tfevents.1689072905.ip-172-31-25-234.1798668.0 +3 -0
- model_index.json +33 -0
- scheduler/scheduler_config.json +20 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/added_tokens.json +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +33 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +67 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1
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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 - ashnrk/textual_inversion_perm_crop
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These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1. You can find some example images in the following.
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feature_extractor/preprocessor_config.json
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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
|
7 |
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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: true
|
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gradient_accumulation_steps: 4
|
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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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initializer_token: farm
|
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learnable_property: object
|
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learning_rate: 0.016
|
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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: 94
|
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num_validation_images: 4
|
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num_vectors: 1
|
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output_dir: textual_inversion_perm_crop
|
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placeholder_token: <perm-crop-sat>
|
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
|
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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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resolution: 512
|
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resume_from_checkpoint: null
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revision: null
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save_as_full_pipeline: false
|
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save_steps: 500
|
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scale_lr: true
|
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seed: null
|
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tokenizer_name: null
|
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train_batch_size: 1
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train_data_dir: /home/ubuntu/datasets/Eurosat_few_shot_10/PermanentCrop
|
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model_index.json
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scheduler/scheduler_config.json
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text_encoder/config.json
ADDED
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tokenizer/tokenizer_config.json
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tokenizer/vocab.json
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unet/config.json
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vae/config.json
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vae/diffusion_pytorch_model.bin
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