End of training
Browse files- README.md +21 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scaler.pt +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_model.bin +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/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/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_model.bin +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-700/optimizer.bin +3 -0
- checkpoint-700/pytorch_model.bin +3 -0
- checkpoint-700/random_states_0.pkl +3 -0
- checkpoint-700/scaler.pt +3 -0
- checkpoint-700/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_model.bin +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scaler.pt +3 -0
- checkpoint-800/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/text2image-fine-tune/1693907858.0326056/events.out.tfevents.1693907858.c94c9a12093b.4390.1 +3 -0
- logs/text2image-fine-tune/1693907858.040306/hparams.yml +49 -0
- logs/text2image-fine-tune/events.out.tfevents.1693907858.c94c9a12093b.4390.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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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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- lora
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inference: true
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---
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# LoRA text2image fine-tuning - EliKet/train_text_to_img
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the EliKet/miumiu dataset. 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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image_0.png
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image_3.png
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adam_beta1: 0.9
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adam_beta2: 0.999
|
3 |
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adam_epsilon: 1.0e-08
|
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|
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|
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|
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|
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|
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|
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dataset_config_name: null
|
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dataset_name: EliKet/miumiu
|
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enable_xformers_memory_efficient_attention: false
|
15 |
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gradient_accumulation_steps: 4
|
16 |
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gradient_checkpointing: false
|
17 |
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hub_model_id: train_text_to_img
|
18 |
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hub_token: null
|
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image_column: image
|
20 |
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learning_rate: 0.0001
|
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|
22 |
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logging_dir: logs
|
23 |
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lr_scheduler: cosine
|
24 |
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|
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|
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|
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|
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mixed_precision: null
|
29 |
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noise_offset: 0
|
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num_train_epochs: 160
|
31 |
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num_validation_images: 4
|
32 |
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output_dir: /content/drive/MyDrive/output
|
33 |
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prediction_type: null
|
34 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
35 |
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push_to_hub: true
|
36 |
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random_flip: true
|
37 |
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rank: 4
|
38 |
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report_to: tensorboard
|
39 |
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resolution: 512
|
40 |
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resume_from_checkpoint: null
|
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revision: null
|
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seed: 1337
|
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|
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train_data_dir: null
|
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use_8bit_adam: false
|
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validation_epochs: 1
|
49 |
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validation_prompt: A girl model
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logs/text2image-fine-tune/events.out.tfevents.1693907858.c94c9a12093b.4390.0
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