Add converted model
Browse files- .gitkeep +0 -0
- .ipynb_checkpoints/image_1-checkpoint.png +0 -0
- README.md +19 -0
- 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-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
- pytorch_lora_weights.bin +3 -0
- testman-lora-3.safetensors +3 -0
- testman-lora-4.safetensors +3 -0
.gitkeep
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.ipynb_checkpoints/image_1-checkpoint.png
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README.md
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---
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license: creativeml-openrail-m
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base_model: danbrown/AnyLora-v1
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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 - danbrown/testman-lora-3
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These are LoRA adaption weights for danbrown/AnyLora-v1. The weights were fine-tuned on the danbrown/testman-dataset dataset. You can find some example images in the following.
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image_0.png
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image_1.png
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