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This repository was archived by the owner on Apr 27, 2024. It is now read-only.
Create a folder called t5_model. Navigate to that folder (you must be in that directory), and git clone https://huggingface.co/google/flan-t5-xl to download the t5 model.
If you don't wish to use git, you can dowload each indvididually file manually by creating a folder t5_model/flan-t5-xl, then download every file from here, although I recommend git as it's easier.
In summary, you should have the following model directory structure:
To get started quickly, a workflow is provided in the workflow directory.
ELLA Loader
ella_model: The path to the ella checkpoint file.
t5_model: The path to the t5 model folder.
ELLA Text Encode
ella: The loaded model using the ELLA Loader.
text: Conditioning prompt. All weighting and such should be 1:1 with all condiioning nodes.
sigma: The required sigma for the prompt. It must be the same as the KSampler settings. Without the workflow, initially this will be a float. You can simply right click the node, convert sigma to input, then use the Get Sigma node.
Support
All conditioning nodes should be supported, as well as prompt weighting and ControlNet.
Attribution
Thanks to the following for open sourcing. Please follow their respective licensing.