This is an implementation of the SDXL as a Cog model. Cog packages machine learning models as standard containers.
Follow the model pushing guide to push your own fork of SDXL to Replicate.
for prediction,
cog predict -i prompt="a photo of TOK"
cog train -i input_images=@example_datasets/zeke.zip" -i use_face_detection_instead=True
- 2023-08-11
- Default to 768x768 resolution training
- Rank as argument now, default to 32
- Now uses Swin2SR
caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr
as default, and will upscale + downscale to 768x768