This PR cherry-picks some improvements from #63 that are general-purpose
and not specifically related to IK.
* Some logic has been added to `AppElement` to track the currently
selected Scene Element
* `disabled` property has been added to `ButtonElement`, with custom
styling and accessibility features
* Tagging entities with their `SceneElement` type has been made more
robust and reliable (previously, it was possible for all entities to
appear in the hierarchy as "Generic" elements depending on the order of
system execution)
Additionally:
* Forces the Netlify CI pipeline to always used the latest stable Rust
version
This PR exposes skeletal joint entities to the frontend hierarchy,
allowing the user to pose rigged models by selecting the joints and
transforming them.
Additionally, entity-type information (e.g., Mesh, Skeleton, Bone,
Light, etc.) has been added to the data structure passed to the
frontend, which is rendered with icons in the tree view.
This PR begins scaffolding the Stable Diffusion Turbo application (title
TBD), which is a separate frontend for Storyteller Engine which focuses
on image generation.
### Design Overview
* The application renders a "split-screen" view, with Storyteller Studio
on the left, and the Stable Diffusion Turbo output on the right
* When changes are made in the Studio editor:
- A screenshot is taken from the Bevy application
- Screenshot is piped into Stable Diffusion Turbo model
- Model output is rendered to the screen
* This all happens in as close to real-time as possible
### Work completed in this PR
* The `studio-frontend` project has been (somewhat crudely) refactored
to split most of its components into reusable libraries
- `studio-ui` is a use-case-agnostic design system library for core UI
components. These are "dumb" components which are controlled
via `@property` inputs and send `CustomEvent`s in response to user
input.
- `studio-frontend` is a collection of reusable Storyteller Studio
widgets. These are "smart" components which depend on
`@storyteller/studio` directly, manage their own state, and require very
little configuration or styling. They are designed to be drop-in
building blocks that can be reused between various frontends.
* The new application has been bootstrapped as `image-generator-demo`
- Currently, this simply grabs screenshots from the Bevy application and
renders those screenshots on the right side of the split-screen view. A
future PR will wire up to the Storyteller.ai backend to pipe these
screenshots through Stable Diffusion Turbo, and render that model's
output instead.
### Testing
* Install dependencies as described in the repo's README
* Run `npx nx serve image-generator-demo`
* Open [localhost:4200](http://localhost:4200) in your browser
- Use the camera controller in the left side of the view to manipulate
the Bevy scene
- Verify the right side of the view updates with a fresh screenshot at a
rate of ~5 fps
* Toggle the "Realtime Capture" checkbox
- Verify the right side view no longer updates while the user is
actively manipulating the editor
- This should allow the app to run smoother on lower-spec hardware
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Co-authored-by: Danny McGee <dannymcgee@gmail.com>
Danny McGee