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@ -326,7 +326,7 @@ You can blend extra networks with the diffusion model using `<type:name:weight>`
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#### LoRA tokens
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You can blend one or more [LoRA embeddings](TODO: whitepaper) with the ONNX diffusion model using a `lora` token:
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You can blend one or more [LoRA embeddings](https://arxiv.org/abs/2106.09685) with the ONNX diffusion model using a `lora` token:
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```none
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<lora:name:0.5>
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@ -337,9 +337,11 @@ LoRA models must be placed in the `models/lora` directory.
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The type of network, name, and weight must be separated by colons. The LoRA name must be alphanumeric and must not
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contain any special characters.
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- https://github.com/kohya-ss/sd-scripts
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#### Textual Inversion tokens
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You can blend one or more [Textual Inversions](TODO: whitepaper) with the ONNX diffusion model using the `inversion`
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You can blend one or more [Textual Inversions](https://textual-inversion.github.io/) with the ONNX diffusion model using the `inversion`
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token:
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```none
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