End of training
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- README.md +1 -1
- checkpoint-1000/optimizer.bin +1 -1
- checkpoint-1000/pytorch_model.bin +1 -1
- checkpoint-1000/random_states_0.pkl +1 -1
- checkpoint-10000/optimizer.bin +1 -1
- checkpoint-10000/pytorch_model.bin +1 -1
- checkpoint-10000/random_states_0.pkl +1 -1
- checkpoint-10500/optimizer.bin +1 -1
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- checkpoint-10500/random_states_0.pkl +1 -1
- checkpoint-11000/optimizer.bin +1 -1
- checkpoint-11000/pytorch_model.bin +1 -1
- checkpoint-11000/random_states_0.pkl +1 -1
- checkpoint-11000/scaler.pt +1 -1
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- checkpoint-11500/optimizer.bin +1 -1
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- checkpoint-11500/random_states_0.pkl +1 -1
- checkpoint-11500/scaler.pt +1 -1
- checkpoint-11500/scheduler.bin +1 -1
- checkpoint-12000/optimizer.bin +1 -1
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- checkpoint-12000/scaler.pt +1 -1
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- checkpoint-12500/optimizer.bin +1 -1
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- checkpoint-1500/optimizer.bin +1 -1
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- checkpoint-15000/optimizer.bin +1 -1
README.md
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---
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# LoRA text2image fine-tuning - kmzz/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
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These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were fine-tuned on the ../datasets/kowenje_fake/
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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---
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# LoRA text2image fine-tuning - kmzz/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
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These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were fine-tuned on the ../datasets/kowenje_fake/normal_gaussian 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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