End of training
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- README.md +21 -0
- checkpoint-1/optimizer.bin +3 -0
- checkpoint-1/pytorch_model.bin +3 -0
- checkpoint-1/random_states_0.pkl +3 -0
- checkpoint-1/scaler.pt +3 -0
- checkpoint-1/scheduler.bin +3 -0
- checkpoint-10/optimizer.bin +3 -0
- checkpoint-10/pytorch_model.bin +3 -0
- checkpoint-10/random_states_0.pkl +3 -0
- checkpoint-10/scaler.pt +3 -0
- checkpoint-10/scheduler.bin +3 -0
- checkpoint-2/optimizer.bin +3 -0
- checkpoint-2/pytorch_model.bin +3 -0
- checkpoint-2/random_states_0.pkl +3 -0
- checkpoint-2/scaler.pt +3 -0
- checkpoint-2/scheduler.bin +3 -0
- checkpoint-3/optimizer.bin +3 -0
- checkpoint-3/pytorch_model.bin +3 -0
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- checkpoint-3/scaler.pt +3 -0
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- checkpoint-4/optimizer.bin +3 -0
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- checkpoint-4/random_states_0.pkl +3 -0
- checkpoint-4/scaler.pt +3 -0
- checkpoint-4/scheduler.bin +3 -0
- checkpoint-5/optimizer.bin +3 -0
- checkpoint-5/pytorch_model.bin +3 -0
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- checkpoint-5/scheduler.bin +3 -0
- checkpoint-6/optimizer.bin +3 -0
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- checkpoint-7/optimizer.bin +3 -0
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- checkpoint-8/optimizer.bin +3 -0
- checkpoint-8/pytorch_model.bin +3 -0
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- checkpoint-9/optimizer.bin +3 -0
- checkpoint-9/pytorch_model.bin +3 -0
- checkpoint-9/random_states_0.pkl +3 -0
- checkpoint-9/scaler.pt +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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 - pranjal01/output1
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the pranjal01/messi-ronaldo-dataset 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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![img_2](./image_2.png)
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![img_3](./image_3.png)
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checkpoint-8/scheduler.bin
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checkpoint-9/optimizer.bin
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checkpoint-9/pytorch_model.bin
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checkpoint-9/random_states_0.pkl
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checkpoint-9/scaler.pt
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