End of training
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- README.md +39 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-3000/model.safetensors +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- learned_embeds-steps-1000.safetensors +3 -0
- learned_embeds-steps-2000.safetensors +3 -0
- learned_embeds-steps-2500.safetensors +3 -0
- learned_embeds-steps-3000.safetensors +3 -0
- learned_embeds-steps-500.safetensors +3 -0
- learned_embeds.safetensors +3 -0
- logs/textual_inversion/1737186043.212849/events.out.tfevents.1737186043.super.1889410.1 +3 -0
- logs/textual_inversion/1737186043.2181685/hparams.yml +48 -0
- logs/textual_inversion/1737265230.5216203/events.out.tfevents.1737265230.super.3227562.1 +3 -0
- logs/textual_inversion/1737265230.531317/hparams.yml +48 -0
- logs/textual_inversion/1737266725.812755/events.out.tfevents.1737266725.super.3259007.1 +3 -0
- logs/textual_inversion/1737266725.8229873/hparams.yml +48 -0
- logs/textual_inversion/1737267269.7068079/events.out.tfevents.1737267269.super.3309318.1 +3 -0
- logs/textual_inversion/1737267269.7158737/hparams.yml +48 -0
- logs/textual_inversion/1737267402.4961572/events.out.tfevents.1737267402.super.3314643.1 +3 -0
- logs/textual_inversion/1737267402.5066936/hparams.yml +48 -0
- logs/textual_inversion/1737273090.8890774/events.out.tfevents.1737273090.super.3584515.1 +3 -0
- logs/textual_inversion/1737273090.8950999/hparams.yml +48 -0
- logs/textual_inversion/1737273158.2032695/events.out.tfevents.1737273158.super.3586687.1 +3 -0
- logs/textual_inversion/1737273158.2120156/hparams.yml +48 -0
- logs/textual_inversion/1737273205.7510989/events.out.tfevents.1737273205.super.3588326.1 +3 -0
- logs/textual_inversion/1737273205.761017/hparams.yml +48 -0
- logs/textual_inversion/1737273258.2121513/events.out.tfevents.1737273258.super.3590127.1 +3 -0
- logs/textual_inversion/1737273258.2218778/hparams.yml +48 -0
- logs/textual_inversion/events.out.tfevents.1737186043.super.1889410.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737265230.super.3227562.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737266725.super.3259007.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737267269.super.3309318.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737267402.super.3314643.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737273090.super.3584515.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737273158.super.3586687.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737273205.super.3588326.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1737273258.super.3590127.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +29 -0
- safety_checker/model.safetensors +3 -0
README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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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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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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- diffusers-training
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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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# Textual inversion text2image fine-tuning - juice0630/textual_inversion_dog
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These are textual inversion adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. You can find some example images in the following.
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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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checkpoint-1000/model.safetensors
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"height": 224,
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"width": 224
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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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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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"resample": 3,
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logs/textual_inversion/1737186043.2181685/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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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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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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initializer_token: Corgi
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learnable_property: object
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learning_rate: 0.002
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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_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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no_safe_serialization: false
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num_train_epochs: 24
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num_validation_images: 4
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num_vectors: 1
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output_dir: ./textual_inversion_dog
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placeholder_token: <*>
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pretrained_model_name_or_path: stable-diffusion-v1-5/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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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: ./dog
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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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variant: null
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logs/textual_inversion/1737265230.5216203/events.out.tfevents.1737265230.super.3227562.1
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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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gradient_accumulation_steps: 4
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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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