End of training
Browse files- README.md +1 -1
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1250/optimizer.bin +3 -0
- checkpoint-1250/pytorch_model.bin +3 -0
- checkpoint-1250/random_states_0.pkl +3 -0
- checkpoint-1250/scaler.pt +3 -0
- checkpoint-1250/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_model.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1750/optimizer.bin +3 -0
- checkpoint-1750/pytorch_model.bin +3 -0
- checkpoint-1750/random_states_0.pkl +3 -0
- checkpoint-1750/scaler.pt +3 -0
- checkpoint-1750/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scaler.pt +3 -0
- checkpoint-250/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-750/optimizer.bin +3 -0
- checkpoint-750/pytorch_model.bin +3 -0
- checkpoint-750/random_states_0.pkl +3 -0
- checkpoint-750/scaler.pt +3 -0
- checkpoint-750/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.bin +1 -1
README.md
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---
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# LoRA text2image fine-tuning - arham061/arham-lora
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the /
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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 - arham061/arham-lora
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the arham061/arham 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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