End of training
Browse files- .gitattributes +4 -0
- .gitignore +2 -0
- README.md +21 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_model.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-20000/optimizer.bin +3 -0
- checkpoint-20000/pytorch_model.bin +3 -0
- checkpoint-20000/random_states_0.pkl +3 -0
- checkpoint-20000/scheduler.bin +3 -0
- checkpoint-30000/optimizer.bin +3 -0
- checkpoint-30000/pytorch_model.bin +3 -0
- checkpoint-30000/random_states_0.pkl +3 -0
- checkpoint-30000/scheduler.bin +3 -0
- checkpoint-40000/optimizer.bin +3 -0
- checkpoint-40000/pytorch_model.bin +3 -0
- checkpoint-40000/random_states_0.pkl +3 -0
- checkpoint-40000/scheduler.bin +3 -0
- checkpoint-50000/optimizer.bin +3 -0
- checkpoint-50000/pytorch_model.bin +3 -0
- checkpoint-50000/random_states_0.pkl +3 -0
- checkpoint-50000/scheduler.bin +3 -0
- checkpoint-60000/optimizer.bin +3 -0
- checkpoint-60000/pytorch_model.bin +3 -0
- checkpoint-60000/random_states_0.pkl +3 -0
- checkpoint-60000/scheduler.bin +3 -0
- checkpoint-70000/optimizer.bin +3 -0
- checkpoint-70000/pytorch_model.bin +3 -0
- checkpoint-70000/random_states_0.pkl +3 -0
- checkpoint-70000/scheduler.bin +3 -0
- checkpoint-80000/optimizer.bin +3 -0
- checkpoint-80000/pytorch_model.bin +3 -0
- checkpoint-80000/random_states_0.pkl +3 -0
- checkpoint-80000/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- pytorch_lora_weights.bin +3 -0
.gitattributes
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@@ -32,3 +32,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore
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step_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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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 - https://huggingface.co/KarosY/lianjia_ap2l3l_80000_1e-3
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These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were fine-tuned on the None 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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