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

2021-08-12

• Input types are inferred from input name extensions, or from the input_images_filetype argument
• Preprocssing are now done with fp16, and if no mask is found, the model will use the whole image

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