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End of training
Browse files- .ipynb_checkpoints/image_0-checkpoint.png +0 -0
- 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-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
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.safetensors +1 -1
.ipynb_checkpoints/image_0-checkpoint.png
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README.md
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---
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# LoRA text2image fine-tuning - Adminhuggingface/OUTPUT
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the Adminhuggingface/
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---
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# LoRA text2image fine-tuning - Adminhuggingface/OUTPUT
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the Adminhuggingface/LORA_ONE dataset. You can find some example images in the following.
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checkpoint-1000/optimizer.bin
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checkpoint-1000/pytorch_model.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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checkpoint-1000/scheduler.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_model.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scaler.pt
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checkpoint-500/scheduler.bin
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image_0.png
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image_3.png
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pytorch_lora_weights.safetensors
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