End of training
Browse files- README.md +25 -0
- checkpoint-100/pytorch_lora_weights.bin +3 -0
- checkpoint-200/pytorch_lora_weights.bin +3 -0
- checkpoint-300/pytorch_lora_weights.bin +3 -0
- checkpoint-400/pytorch_lora_weights.bin +3 -0
- checkpoint-500/pytorch_lora_weights.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 photo of basophil-blood cell
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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 - yemoncad/blood-cell
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of basophil-blood cell 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: False.
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checkpoint-100/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5bbbf58a1501b6c2911c711b4b5c40748d6a4f88bb6120c51a5db65b5be2428
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size 3289051
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checkpoint-200/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:32249ef495815337baa4cdbc772325cb216168fb0d1cd12767e1b905744c86af
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size 3289051
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checkpoint-300/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9952f3e6fb5cebd7f3d3d14f8001f43affa87ab86635b3459c84c6bc2791e45d
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size 3289051
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checkpoint-400/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7c30d62dc4b4df7d21b7d56f30edea45978053e162541f85a50ee0e9bff7276
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size 3289051
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checkpoint-500/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:721407fe31f2ccf331cc6a8077bbf6d547b3131487f7122772606763b0020bf5
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size 3289051
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image_0.png
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image_1.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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version https://git-lfs.github.com/spec/v1
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oid sha256:721407fe31f2ccf331cc6a8077bbf6d547b3131487f7122772606763b0020bf5
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size 3289051
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