conversion headers
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@ -12,8 +12,8 @@ weights, to the directories used by `diffusers` and on to the ONNX models used b
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- [Converting SD and Dreambooth checkpoints](#converting-sd-and-dreambooth-checkpoints)
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- [Converting SD and Dreambooth checkpoints](#converting-sd-and-dreambooth-checkpoints)
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- [Converting LoRA weights](#converting-lora-weights)
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- [Converting LoRA weights](#converting-lora-weights)
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- [Figuring out which script produced the LoRA weights](#figuring-out-which-script-produced-the-lora-weights)
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- [Figuring out which script produced the LoRA weights](#figuring-out-which-script-produced-the-lora-weights)
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- [LoRA models from cloneofsimo/lora](#lora-models-from-cloneofsimolora)
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- [LoRA weights from cloneofsimo/lora](#lora-weights-from-cloneofsimolora)
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- [LoRA models from kohya-ss/sd-scripts](#lora-models-from-kohya-sssd-scripts)
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- [LoRA weights from kohya-ss/sd-scripts](#lora-weights-from-kohya-sssd-scripts)
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## Conversion steps for each type of model
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## Conversion steps for each type of model
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@ -144,7 +144,7 @@ ValueError: Tensor lora_te_text_model_encoder_layers_0_mlp_fc1.alpha has no meta
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See https://github.com/cloneofsimo/lora/issues/191 for more information.
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See https://github.com/cloneofsimo/lora/issues/191 for more information.
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### LoRA models from cloneofsimo/lora
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### LoRA weights from cloneofsimo/lora
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Download the `lora` repo and create a virtual environment for it:
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Download the `lora` repo and create a virtual environment for it:
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@ -182,7 +182,7 @@ Based on docs in:
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- https://github.com/cloneofsimo/lora#merging-full-model-with-lora
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- https://github.com/cloneofsimo/lora#merging-full-model-with-lora
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### LoRA models from kohya-ss/sd-scripts
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### LoRA weights from kohya-ss/sd-scripts
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Download the `sd-scripts` repo and create a virtual environment for it:
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Download the `sd-scripts` repo and create a virtual environment for it:
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