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Invoke AI is presented as a local AI interface for generating and editing images. The speaker calls this a showcase rather than a full tutorial, with a short installation overview before a tour of the application.
The setup discussion covers creating a Python environment, choosing a release and a backend for NVIDIA or AMD hardware, installing the software, and launching it with a root directory for stored files.
In the generation interface, the speaker uses anime prompts and shows controls for image dimensions, random generation and a fixed seed. Qwen Image 2512 is the model in use; the speaker also reports trying FLUX.2 Klein 4B and finding it a little faster. That is a personal observation, without benchmark results. Model selection supplies defaults for associated components, while the starter model catalog installs the components a model needs. The speaker says their graphics hardware limits which models they can run.
The canvas supports drawing, removing areas and requesting changes through another generation. A background removal example shows this editing process. The tour also covers upscaling and optional graph workflows. The speaker's main point is that ordinary generation and canvas editing do not require building a graph.