End of training
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- README.md +42 -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
- logs/dreambooth-lora/1709702599.10934/events.out.tfevents.1709702599.c534626ef59f.2714.1 +3 -0
- logs/dreambooth-lora/1709702599.120342/hparams.yml +56 -0
- logs/dreambooth-lora/1709703086.5790849/events.out.tfevents.1709703086.c534626ef59f.4944.1 +3 -0
- logs/dreambooth-lora/1709703086.588409/hparams.yml +56 -0
- logs/dreambooth-lora/1709703396.4600704/events.out.tfevents.1709703396.c534626ef59f.6425.1 +3 -0
- logs/dreambooth-lora/1709703396.4697115/hparams.yml +56 -0
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- logs/dreambooth-lora/events.out.tfevents.1709703086.c534626ef59f.4944.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1709703396.c534626ef59f.6425.0 +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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- text-to-image
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- diffusers
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- lora
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: photo of a room with professional interior design
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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 - LN1996/output_run_3
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a room with professional interior design 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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