Qinti 0.2.0

Changelog

New features

• Capability to save and load projects
• Forge UI as backend
• Reference and color contronets added
• Added controlnet inbuilt tutorials
• New developer collaboration guide on Github (How to add a new backend)

Improvements

• Model hashing, if a model is missing when loading a project file, a Civitai hash code will be available to search the model
• Speed up start up time on Windows
• Resources (LoRA/Lycorys/TI) will now load on startup rather than on server ready
• API connection module now supports feature incomplete backends
• Visual improvements on generation area and other parts of the program

Bug fixes

• Inpaint brush was not drawing properly at times
• Some changes made on the canvas when editing a modifier where disappearing
• Some delet4ed layers where still in memory
• Multiple control net downloads of the same model were being requested, causing issues with the downloads
• Multiple preprocessor requests were being made, causing a few issues with controlnet
• Prompt boxes not cleared of the transparent text at a times
• Tool tooltips were not showing correctly
• And many more minor bug fixes

Qinti 0.1.2

Changelog

• On startup, the program was failing to read the readme.md if it wasn't there, causing it to fail to launch in some instances
• Controlnet models refresh broke after update during last release on Automatic Web UI, now it is back again
• Minor bug fixes

Qinti 0.1.1

Changelog

• Improved backend check when loading existing server installation
• Fixed bugs related to downloading controlnet models, specially lineart
• Minor bug fixes

To update existing Qinti installations, there is a special zip/tar with only the files that need to be replaced

Qinti 0.1.0

Changelog

• Added upgrade available button
• Improved tutorials text
• Specific image viewer icons are now bigger
• Minor bug fixing

Qinti 0.1.0 RC

First release candidate of Qinti UI, it has the following main features:

• Controlnet
• Inpaint
• Outpaint
• Drawing to AI image
• Infinite canvas
• Use of Textural inversion, LoRAs, Lycoris, etc
• Model resources management
• Supports both Automatic1111 Web UI and SD.Next as backends
• Modular use of generated images metadata to generate other images
• Inbuilt tutorials
• Automatic1111 web ui installation (beta feature)