End of training
Browse files- README.md +23 -0
- checkpoint-1000/pytorch_lora_weights.bin +3 -0
- checkpoint-500/pytorch_lora_weights.bin +3 -0
- image_0.png +0 -0
- image_1.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: stabilityai/stable-diffusion-2-1-base
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instance_prompt: nftmonkey
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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 - xbesing/output_nft
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These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on nftmonkey using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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checkpoint-1000/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:74c30e53dde2ec423942c521ebc3adc1b5ff0c4dca18aae90db651b3655d635f
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size 3420123
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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 sha256:2db73ab25bd9b0ab9ec36e036bbfdeacdeacb3a34aecce2a0ffab9a1386e1e87
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size 3420123
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image_0.png
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image_1.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:d7c221e6992ac8f92ddb28987b04bf368a81401a119cba2a82563849368cd51c
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size 3420123
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