xiaolingao
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End of training
Browse files- README.md +74 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/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.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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library_name: diffusers
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license: openrail++
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tags:
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- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- dora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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instance_prompt: a SRE2L-distilled image of tench
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widget:
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- text: a SRE2L-distilled image of tench
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output:
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url: image_0.png
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- text: a SRE2L-distilled image of tench
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output:
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url: image_1.png
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- text: a SRE2L-distilled image of tench
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output:
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url: image_2.png
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- text: a SRE2L-distilled image of tench
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output:
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url: image_3.png
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SDXL LoRA DreamBooth - xiaolingao/trained-dora-sdxl-SRE2L
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<Gallery />
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## Model description
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These are xiaolingao/trained-dora-sdxl-SRE2L LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a SRE2L-distilled image of tench to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](xiaolingao/trained-dora-sdxl-SRE2L/tree/main) them in the Files & versions tab.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:726eb97db63765201e541319d152e8c4372fd80f8b54c34ad000ee863715016e
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size 20668060
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checkpoint-500/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa387d966b24f0c571d5423b51220e9efdbbf4d00674eaae118f0170cdb747ef
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size 26138248
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fe9ba1c801c8e2cff2fe646577862428cfd43258730280cb4c7fa34e2f86f84
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size 14540
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checkpoint-500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18b984273ea2d45b7ffb1d047bb359d93111e41fcad70d16a1b453fd38f72636
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size 988
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1ef945fb67548939f1340070803ddc6f91925dd6d43f8c15ba25d113f03c5ed
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size 1000
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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.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa387d966b24f0c571d5423b51220e9efdbbf4d00674eaae118f0170cdb747ef
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size 26138248
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