A member of my team has trained a custom SDXL model. To use this custom model we must create a single file that can replace this file in the official SDXL 1.0 Hugging Face repository.
However, I can not find documentation on how to create a single file like this one in the official SDXL repository that includes the UNet, CLIP, and VAE weights saved into a single safetensors format file.
How can I create a file that can serve as a drop-in replacement for
This code example does not produce any single file containing the UNet, CLIP, and VAE weights:
pipe = StableDiffusionXLPipeline.from_pretrained(