End of training
Browse files- README.md +43 -0
- checkpoint-5000/model.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +44 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -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-3500.bin +3 -0
- learned_embeds-steps-4000.bin +3 -0
- learned_embeds-steps-4500.bin +3 -0
- learned_embeds-steps-500.bin +3 -0
- learned_embeds-steps-5000.bin +3 -0
- learned_embeds.bin +3 -0
- logs/textual_inversion/1718248018.6333783/events.out.tfevents.1718248018.deep-chungus-4.csail.mit.edu.3397439.1 +3 -0
- logs/textual_inversion/1718248018.6498396/hparams.yml +49 -0
- logs/textual_inversion/1718303074.872746/events.out.tfevents.1718303074.deep-chungus-4.csail.mit.edu.722649.1 +3 -0
- logs/textual_inversion/1718303074.8948605/hparams.yml +49 -0
- logs/textual_inversion/1718328881.1141868/events.out.tfevents.1718328881.deep-chungus-5.csail.mit.edu.1991989.1 +3 -0
- logs/textual_inversion/1718328881.132989/hparams.yml +49 -0
- logs/textual_inversion/events.out.tfevents.1718248018.deep-chungus-4.csail.mit.edu.3397439.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1718303074.deep-chungus-4.csail.mit.edu.722649.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1718328881.deep-chungus-5.csail.mit.edu.1991989.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +28 -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/added_tokens.json +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +38 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +34 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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library_name: diffusers
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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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base_model: CompVis/stable-diffusion-v1-4
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inference: true
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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 - heale22/chairs_inversion_2-5e-3_5000steps_largetoken
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These are textual inversion adaption weights for CompVis/stable-diffusion-v1-4. You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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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-5000/model.safetensors
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{
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"_valid_processor_keys": [
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"size",
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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}
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image_0.png
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image_1.png
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image_3.png
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logs/textual_inversion/1718248018.6333783/events.out.tfevents.1718248018.deep-chungus-4.csail.mit.edu.3397439.1
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logs/textual_inversion/1718248018.6498396/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: 5000
|
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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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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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initializer_token: chair
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learnable_property: object
|
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learning_rate: 0.04
|
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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: 5000
|
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mixed_precision: 'no'
|
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model_name_unique: null
|
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no_safe_serialization: true
|
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num_train_epochs: 88
|
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num_validation_images: 4
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num_vectors: 1
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output_dir: /mnt/xfs/home/alexh22/erasing/chairs_inversion_2-5e-3_5000steps_largetoken
|
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+
placeholder_token: <al-ex-ch-air>
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+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
33 |
+
push_to_hub: true
|
34 |
+
repeats: 100
|
35 |
+
report_to: tensorboard
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36 |
+
resolution: 512
|
37 |
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resume_from_checkpoint: null
|
38 |
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revision: null
|
39 |
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save_as_full_pipeline: true
|
40 |
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save_steps: 500
|
41 |
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scale_lr: true
|
42 |
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seed: null
|
43 |
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tokenizer_name: null
|
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train_batch_size: 4
|
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train_data_dir: /mnt/xfs/home/alexh22/erasing/chairs
|
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validation_epochs: null
|
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+
validation_prompt: A photo of a <al-ex-ch-air>
|
48 |
+
validation_steps: 100
|
49 |
+
variant: null
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logs/textual_inversion/1718303074.872746/events.out.tfevents.1718303074.deep-chungus-4.csail.mit.edu.722649.1
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logs/textual_inversion/1718303074.8948605/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: 5000
|
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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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gradient_checkpointing: false
|
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hub_model_id: null
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hub_token: null
|
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initializer_token: chair
|
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learnable_property: object
|
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learning_rate: 0.04
|
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local_rank: -1
|
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logging_dir: logs
|
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lr_num_cycles: 1
|
21 |
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lr_scheduler: constant
|
22 |
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lr_warmup_steps: 0
|
23 |
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max_train_steps: 5000
|
24 |
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mixed_precision: 'no'
|
25 |
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model_name_unique: null
|
26 |
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no_safe_serialization: true
|
27 |
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num_train_epochs: 88
|
28 |
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num_validation_images: 4
|
29 |
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num_vectors: 1
|
30 |
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output_dir: /mnt/xfs/home/alexh22/erasing/chairs_inversion_2-5e-3_5000steps_largetoken
|
31 |
+
placeholder_token: <al-ex-ch-air>
|
32 |
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vae/config.json
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|
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