Executive summary
A consolidated view of what happened, what Leo found, and what remains unresolved.
Conversation at a glance
How to Use Leonardo.Ai - Create, Edit & Animate Images with AI
The discussion started as a comparison of Leonardo.Ai's "help me start" tools, Flow State versus Blueprints, but progressively shifted downstream: from starting mode, to the upscale step, to model selection for specific outputs (text rendering, web vs print resolution). Participants converged on the idea that the guide's linear generate-edit-upscale-animate walkthrough doesn't flag where workflows actually break, and that this breaking point varies by use case rather than being fixed at one step.
How the conversation came together
Recurring themes drawn from the published session summary.
Recurring themes
Repeated reframing: each proposed "real bottleneck" (starting mode, upscaling, model choice) got complicated by someone with a different workflow
Self-correction after group agreement: one participant explicitly noted they'd agreed with the room rather than from personal experience, then retracted it
Distinction drawn between what the guide literally states versus participants' own inferences or guesses (e.g. which model handles text rendering)
Recognition that credit cost, resolution needs, and output type (web/print/video) are unevenly addressed by a single linear guide
Does the guide (or Leonardo.Ai itself) specify credit cost differences between modes like Flow State and Blueprints?
Which model actually handles in-image text rendering reliably, and is that a tested fact or still assumption?