End of training
Browse files- README.md +25 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-25/optimizer.bin +3 -0
- checkpoint-25/pytorch_lora_weights.bin +3 -0
- checkpoint-25/random_states_0.pkl +3 -0
- checkpoint-25/scheduler.bin +3 -0
- checkpoint-50/optimizer.bin +3 -0
- checkpoint-50/pytorch_lora_weights.bin +3 -0
- checkpoint-50/random_states_0.pkl +3 -0
- checkpoint-50/scheduler.bin +3 -0
- checkpoint-75/optimizer.bin +3 -0
- checkpoint-75/pytorch_lora_weights.bin +3 -0
- checkpoint-75/random_states_0.pkl +3 -0
- checkpoint-75/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: runwayml/stable-diffusion-v1-5
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instance_prompt: a high-quality portrait photo of a person,The person is facing forward and the main focus of the image. The background is blurred or out of focus to draw attention to the person. The image is high resolution and have natural-looking lighting and shadows. The person's features are recognizable and the image conveys a sense of emotion or personality.
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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 DreamBooth - MayIBorn/ft-sd15-portrait
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a high-quality portrait photo of a person,The person is facing forward and the main focus of the image. The background is blurred or out of focus to draw attention to the person. The image is high resolution and have natural-looking lighting and shadows. The person's features are recognizable and the image conveys a sense of emotion or personality. using [DreamBooth](https://dreambooth.github.io/). 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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LoRA for the text encoder was enabled: True.
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image_0.png
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image_2.png
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image_3.png
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pytorch_lora_weights.bin
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