videobook 0.4.2

Added

• /split @a1 at scenes reviews detected camera cuts one at a time, with
  large before and after frames, three frames on each side to move the cut
  to, the usual nudges and a ±1s loop across the cut. K keeps a cut, X
  removes it, J goes back and ← → nudge by a frame. A filmstrip marks each
  cut's status and adds a cut on double-click, removed cuts can be restored,
  and weaker candidates can be added for review in one step.
• split_video_at_scenes splits a notebook video into one clip per scene: it
  detects camera cuts, reusing a cached detect_scenes result, then adds a
  split cell and one output cell per scene below the source and runs it.
  Pass cut_points_seconds to split at reviewed times instead.
• The Kie Grok Imagine Video 1.5 preview takes a loop image (@loop) and up
  to four timed keyframes (@keyframe1-@keyframe4) in notebooks and
  generate_video. Keyframes without a time are spaced evenly over the clip.
• MachGen MiniMax H3 Omni turns image or video references into a 768p clip
  of 1-15 seconds at 0.02 USD/s. generate_video accepts it, and like
  MachGen's own app the model picker leaves it out.

Changed

• detect_scenes places camera cuts on the exact frame and scores each
  frame's change against the surrounding half second, so hard cuts in dark
  or low-contrast footage are no longer dropped. The default minimum score
  is 5, and detail: "full" also returns every cut, motion settle and a
  filmstrip.
• The split editor has a cut editor under the source player: large before
  and after frames, an eight-frame strip where clicking a frame moves the
  cut, and nudges of one frame, 0.1s and 1s. Its Across cut loop replaces
  Surroundings.
• @apicity 0.24.0. MachGen image edits take up to 16 images for GPT Image
  2, GPT Image 2.5 Sunburst and Flare, and up to 14 for Nano Banana 2 and
  2.1, up from nine.
• MachGen MiniMax H3 Turbo estimates follow MachGen's current 0.015 USD/s
  promotion.

Fixed

• A Grok Imagine Image 2.0 generation with connected images that fails before
  reaching xAI is captured under v1.images.edits, the endpoint it would have
  posted to, instead of v1.images.generations, so apicity har report
  resolves it.
• Notebook generation previews for Grok Imagine Image 2.0 name the xAI image
  endpoint, v1.images.edits with connected images and
  v1.images.generations without, instead of the video endpoint.