End of training
Browse files- README.md +44 -0
- checkpoint-10/optimizer.bin +3 -0
- checkpoint-10/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10/random_states_0.pkl +3 -0
- checkpoint-10/scaler.pt +3 -0
- checkpoint-10/scheduler.bin +3 -0
- checkpoint-15/optimizer.bin +3 -0
- checkpoint-15/pytorch_lora_weights.safetensors +3 -0
- checkpoint-15/random_states_0.pkl +3 -0
- checkpoint-15/scaler.pt +3 -0
- checkpoint-15/scheduler.bin +3 -0
- checkpoint-20/optimizer.bin +3 -0
- checkpoint-20/pytorch_lora_weights.safetensors +3 -0
- checkpoint-20/random_states_0.pkl +3 -0
- checkpoint-20/scaler.pt +3 -0
- checkpoint-20/scheduler.bin +3 -0
- checkpoint-5/optimizer.bin +3 -0
- checkpoint-5/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5/random_states_0.pkl +3 -0
- checkpoint-5/scaler.pt +3 -0
- checkpoint-5/scheduler.bin +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- diffusers-training
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- lora
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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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# LoRA text2image fine-tuning - Busey/Tattoomicro2
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the Busey/tattoodatamicroset dataset. You can find some example images in the following.
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LoRA for the text encoder was enabled: True.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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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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