deepgoyal19
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End of training
Browse files- .gitignore +2 -0
- README.md +17 -0
- checkpoint-160/optimizer.bin +3 -0
- checkpoint-160/pytorch_model.bin +3 -0
- checkpoint-160/random_states_0.pkl +3 -0
- checkpoint-160/scaler.pt +3 -0
- checkpoint-160/scheduler.bin +3 -0
- checkpoint-240/optimizer.bin +3 -0
- checkpoint-240/pytorch_model.bin +3 -0
- checkpoint-240/random_states_0.pkl +3 -0
- checkpoint-240/scaler.pt +3 -0
- checkpoint-240/scheduler.bin +3 -0
- checkpoint-320/optimizer.bin +3 -0
- checkpoint-320/pytorch_model.bin +3 -0
- checkpoint-320/random_states_0.pkl +3 -0
- checkpoint-320/scaler.pt +3 -0
- checkpoint-320/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_model.bin +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-480/optimizer.bin +3 -0
- checkpoint-480/pytorch_model.bin +3 -0
- checkpoint-480/random_states_0.pkl +3 -0
- checkpoint-480/scaler.pt +3 -0
- checkpoint-480/scheduler.bin +3 -0
- checkpoint-80/optimizer.bin +3 -0
- checkpoint-80/pytorch_model.bin +3 -0
- checkpoint-80/random_states_0.pkl +3 -0
- checkpoint-80/scaler.pt +3 -0
- checkpoint-80/scheduler.bin +3 -0
- pytorch_lora_weights.bin +3 -0
.gitignore
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step_*
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epoch_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: deepgoyal19/mysd1
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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 - deepgoyal19/lora15
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These are LoRA adaption weights for deepgoyal19/mysd1. The weights were fine-tuned on the None dataset. You can find some example images in the following.
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