New WebUI LoRA and Textual Inversion Buttons You can change the location of the loras directory by passing the -lora_directory option to `invokeai. This will trigger a non-fatal error message and generation will not proceed. Don't try to load a SD 1.x-trained LoRA into a SD 2.x model, and vice versa. As is the case with all fine-tunes, you'll get the best results when running the LoRA on top of the model similar to, or identical with, the one that was used during the LoRA's training. Generate as you usually would! If you find that the image is too "crisp" try reducing the overall CFG value or reducing individual LoRA weights. Negative weights are also allowed, which can lead to some interesting effects. Higher weights make the LoRA's influence stronger. The weight can be arbitrarily large, but the useful range is roughly 0.5 to 1.0. Multiple withLora() prompt fragments are allowed. A few examples, assuming that a LoRA file named loras/sushi.safetensors is present:įamily sitting at dinner table eating sushi withLora(sushi,0.9)įamily sitting at dinner table eating sushi withLora(sushi, 0.75)įamily sitting at dinner table eating sushi withLora(sushi) ![]() The weight is optional and will default to 1.0. You can also create the directory manually.Īdd withLora(lora-file,weight) to your prompts. This directory was not present in earlier version of InvokeAI but will be created for you the first time you run the command-line or web client. safetensors files of your choice and place in /path/to/invokeai/loras. Full documentation of LoRA support is available at InvokeAI LoRA Support.( Pre-release note: this page will only be available after release)ĭownload the. You will find numerous LoRA and L圜ORIS models for download at Civitai, and a small but growing number at Hugging Face. InvokeAI supports the most common LoRA/L圜ORIS format, which ends in the suffix. L圜ORIS files are an extended variant of LoRA. LoRA files contain fine-tuning weights that enable particular styles, subjects or concepts to be applied to generated images. This features release adds support for LoRA (Low-Rank Adaptation) and L圜ORIS (Lora beYond Conventional) models, as well as some minor bug fixes. ![]() We are pleased to announce a features update to InvokeAI with the release of version 2.3.4.
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