End of training
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- .gitattributes +4 -0
- README.md +47 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -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-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-700/optimizer.bin +3 -0
- checkpoint-700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-700/random_states_0.pkl +3 -0
- checkpoint-700/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scheduler.bin +3 -0
- checkpoint-900/optimizer.bin +3 -0
- checkpoint-900/pytorch_lora_weights.safetensors +3 -0
- checkpoint-900/random_states_0.pkl +3 -0
- checkpoint-900/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora/1767882943.3198175/events.out.tfevents.1767882943.aca94150488c.4536.1 +3 -0
- logs/dreambooth-lora/1767882943.3238451/hparams.yml +58 -0
- logs/dreambooth-lora/1767883401.8086393/events.out.tfevents.1767883401.aca94150488c.6698.1 +3 -0
- logs/dreambooth-lora/1767883401.8122995/hparams.yml +58 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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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instance_prompt: a photo of mr. potato
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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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---
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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 - joheras/mr_potato-sd
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These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on a photo of mr. potato using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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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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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: 100
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|
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learning_rate: 0.0001
|
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logging_dir: logs
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lora_dropout: 0.0
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|
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|
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|
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pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
|
| 38 |
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|
| 39 |
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prior_loss_weight: 1.0
|
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push_to_hub: true
|
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rank: 4
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report_to: tensorboard
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| 44 |
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validation_prompt: a photo of mr. potato playing a guitar
|
| 57 |
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variant: null
|
| 58 |
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|
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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: 100
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lora_dropout: 0.0
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lr_scheduler: constant
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prior_loss_weight: 1.0
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push_to_hub: true
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rank: 4
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report_to: tensorboard
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resolution: 512
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sample_batch_size: 4
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seed: 0
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