v1.0.2

• Introducing SCEPTER v1, supporting customized image edit tasks! Simply provide 10 image pairs, SCEPTER will tune an edit tuner for your own Image-to-Image tasks, like Clay Style, De-Text, Segmentation, etc.
• Compatible with tuner models (LoRA) from community.

V0.0.5

What's Changed

• Support StyleBooth demo on SCEPTER Studio for Text-Based Style Editing
• Support tuner model import from modelscope/local
• Support tuner model export to local/share to modelscope
• Optimize the Data Management module, which currently supports batch preprocessing of images and automatic annotation through language models such as BlipImageBase, QWVL, QWVLQuantize

Full Changelog: v0.0.4...v0.0.5

v0.0.4

What's Changed

• Enhanced interaction design for the training module
• New task management capabilities that allow for asynchronous task submission and termination
• New model management module that supports saving of custom models
• Support outpainting, inpainting and virtual try on applications by integrating LAR-Gen, a novel method that enables inpainting with text and subject guidance simultaneously

Full Changelog: v0.0.3...v0.0.4