End of training
Browse files- README.md +21 -0
- checkpoint-1600/optimizer.bin +3 -0
- checkpoint-1600/pytorch_model.bin +3 -0
- checkpoint-1600/random_states_0.pkl +3 -0
- checkpoint-1600/scaler.pt +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-2400/optimizer.bin +3 -0
- checkpoint-2400/pytorch_model.bin +3 -0
- checkpoint-2400/random_states_0.pkl +3 -0
- checkpoint-2400/scaler.pt +3 -0
- checkpoint-2400/scheduler.bin +3 -0
- checkpoint-3200/optimizer.bin +3 -0
- checkpoint-3200/pytorch_model.bin +3 -0
- checkpoint-3200/random_states_0.pkl +3 -0
- checkpoint-3200/scaler.pt +3 -0
- checkpoint-3200/scheduler.bin +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/pytorch_model.bin +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scaler.pt +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-4800/optimizer.bin +3 -0
- checkpoint-4800/pytorch_model.bin +3 -0
- checkpoint-4800/random_states_0.pkl +3 -0
- checkpoint-4800/scaler.pt +3 -0
- checkpoint-4800/scheduler.bin +3 -0
- checkpoint-5600/optimizer.bin +3 -0
- checkpoint-5600/pytorch_model.bin +3 -0
- checkpoint-5600/random_states_0.pkl +3 -0
- checkpoint-5600/scaler.pt +3 -0
- checkpoint-5600/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_model.bin +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scaler.pt +3 -0
- checkpoint-800/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 +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA text2image fine-tuning - hongrui/mammogram_v_2_4
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the hongrui/mixed_v_1 dataset. You can find some example images in the following.
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