End of training
Browse files- README.md +47 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-6000/optimizer.bin +3 -0
- checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-6000/random_states_0.pkl +3 -0
- checkpoint-6000/scheduler.bin +3 -0
- checkpoint-7000/optimizer.bin +3 -0
- checkpoint-7000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-7000/random_states_0.pkl +3 -0
- checkpoint-7000/scheduler.bin +3 -0
- checkpoint-8000/optimizer.bin +3 -0
- checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-8000/random_states_0.pkl +3 -0
- checkpoint-8000/scheduler.bin +3 -0
- checkpoint-9000/optimizer.bin +3 -0
- checkpoint-9000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-9000/random_states_0.pkl +3 -0
- checkpoint-9000/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- logs/dreambooth-lora/1731305322.3381057/events.out.tfevents.1731305322.cc484bb63e18.4362.1 +3 -0
- logs/dreambooth-lora/1731305322.3398542/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1731305322.cc484bb63e18.4362.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: kyujinpy/KO-anything-v4-5
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- diffusers
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- lora
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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instance_prompt: 배불러
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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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# LoRA DreamBooth - KHongJae/before_txtrmANDimgcap_LoRA_Any_0to10000
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These are LoRA adaption weights for kyujinpy/KO-anything-v4-5. The weights were trained on 배불러 using [DreamBooth](https://dreambooth.github.io/). 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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LoRA for the text encoder was enabled: True.
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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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logs/dreambooth-lora/1731305322.3398542/hparams.yml
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instance_data_dir: /content/full_caption_rmtxt_dataset
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instance_prompt: "\uBC30\uBD88\uB7EC"
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learning_rate: 1.0e-06
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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_power: 1.0
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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: 10000
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mixed_precision: 'no'
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num_class_images: 100
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num_train_epochs: 1
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num_validation_images: 4
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output_dir: before_txtrmANDimgcap_LoRA_Any_0to10000
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: kyujinpy/KO-anything-v4-5
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rank: 4
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resolution: 768
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revision: null
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seed: 0
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train_batch_size: 1
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train_text_encoder: true
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use_8bit_adam: false
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validation_epochs: 50
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variant: null
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with_prior_preservation: false
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