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End of training
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- .gitattributes +4 -0
- README.md +27 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-100000/optimizer.bin +3 -0
- checkpoint-100000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100000/random_states_0.pkl +3 -0
- checkpoint-100000/scheduler.bin +3 -0
- checkpoint-100500/optimizer.bin +3 -0
- checkpoint-100500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100500/random_states_0.pkl +3 -0
- checkpoint-100500/scheduler.bin +3 -0
- checkpoint-101000/optimizer.bin +3 -0
- checkpoint-101000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-101000/random_states_0.pkl +3 -0
- checkpoint-101000/scheduler.bin +3 -0
- checkpoint-101500/optimizer.bin +3 -0
- checkpoint-101500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-101500/random_states_0.pkl +3 -0
- checkpoint-101500/scheduler.bin +3 -0
- checkpoint-102000/optimizer.bin +3 -0
- checkpoint-102000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-102000/random_states_0.pkl +3 -0
- checkpoint-102000/scheduler.bin +3 -0
- checkpoint-102500/optimizer.bin +3 -0
- checkpoint-102500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-102500/random_states_0.pkl +3 -0
- checkpoint-102500/scheduler.bin +3 -0
- checkpoint-103000/optimizer.bin +3 -0
- checkpoint-103000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-103000/random_states_0.pkl +3 -0
- checkpoint-103000/scheduler.bin +3 -0
- checkpoint-103500/optimizer.bin +3 -0
- checkpoint-103500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-103500/random_states_0.pkl +3 -0
- checkpoint-103500/scheduler.bin +3 -0
- checkpoint-104000/optimizer.bin +3 -0
- checkpoint-104000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-104000/random_states_0.pkl +3 -0
- checkpoint-104000/scheduler.bin +3 -0
- checkpoint-104500/optimizer.bin +3 -0
- checkpoint-104500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-104500/random_states_0.pkl +3 -0
- checkpoint-104500/scheduler.bin +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: creativeml-openrail-m
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base_model: juliajoanna/sdxl-one_hot_encoding
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dataset: None
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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 - juliajoanna/sdxl-flintstones-lora-one_hot_encoding
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These are LoRA adaption weights for juliajoanna/sdxl-one_hot_encoding. The weights were fine-tuned on the None dataset. You can find some example images in the following.
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LoRA for the text encoder was enabled: True.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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