What’s new

What each beta build changed, newest first. RSS feed

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Coming in the next beta

Built and being tested. Not in the current build yet.

Steadier and faster

  • Found and fixed four causes of rare crashes. In our tests, repeated full checks of the test build then ran without a crash.
  • In our tests with 50,000 images, opening a 500-image dataset paused the window for 0.1 seconds instead of 1.4, and searching from Home took 0.02 seconds instead of 0.45.
  • Fixed a problem where a project’s trigger word could be saved again when you only clicked away from the box. It is now saved only when you type in it.
  • Switching pages and projects is smoother: the old page fades out while the new one slides in, and a project switch no longer freezes the window – in our tests the longest pause dropped from about 1 second to 40 milliseconds. With “Reduce motion” on in macOS, moves become short fades.

New features

  • A dataset that works like FinderPress Return to rename, ⌘⌫ to move to the Trash (with undo), and use the same colour tags as Finder.
  • Drop or paste anywhereDrop onto the grid, a project in the sidebar, the Projects page or the Home page, or paste with ⌘V.
  • Batch renameChoose a pattern and see every new name before you apply it.
  • Dataset health checkImages missing a trigger word, too small for training, oddly shaped or almost identical to another are marked, with a fix next to each.
  • Search every project from HomeSearch all projects by caption, file name or prompt.
  • Tag panel for the whole datasetSee every tag and how often it is used, then add, remove or rename it on many images at once, with undo.
  • Check AI captions one by oneSee each old and new caption side by side and keep only the ones you tick.
  • Trigger word spelling checkDifferent spellings of your trigger word (the word that calls up your subject) are found and fixed in one step.
  • Training presets and checklistPick the kind of LoRA for ready-made settings and a checklist before each run.
  • Workflows found in your imagesSkye Desk reads the ComfyUI workflow saved in your images and groups them by base model (the AI model your LoRA adds to).
  • Use a prompt as a caption draftInsert the prompt saved in an image into its caption, then edit it.
  • Compare runs and set the final LoRAOn the Projects page, compare two training runs side by side and mark one as the final LoRA, with its base model shown.

See everything on the Roadmap

Beta buildLink

The first beta build

Everything you need to prepare a LoRA dataset on your Mac, with training and comparison to try in demo mode. It is not open for download yet.

See example pictures in the Showcase →

Dataset

  • See every image next to its caption, and press Space to preview one full size.
  • See what share of your images carries each tag, so an imbalance stands out. Click a tag to see only those images.
  • Missing, empty and orphaned captions are flagged for you.

Captions

  • Captions save as you type.
  • Find and replace words across every caption. You see each change before it is written, and you can undo the batch.
  • Bring in captions written by any AI. They are matched to images by file name.

Generate

  • Give each image number its own prompt, copy the workflow to ComfyUI, then import the results. They land under their number.

Train and compare (demo mode)

  • Try the whole training workflow in a simulation. No cloud GPU is rented and nothing is charged.
  • Compare saved versions in a blind test that hides the training steps until you pick.
  • Export a training ZIP for AI Toolkit or OneTrainer.

Experimental

  • Browse a RunPod network volume and import its images. Turn it on in Settings.

Image preview