Product ad workflow on Adobe Firefly + Firefly Boards
@umesh_ai
Shows Boards as structure/memory for product ads — closer to art direction than one-shot prompts.
What happened
X creators are posting workflow videos of two different ad jobs: Adobe Firefly + Firefly Boards for structured product ads on an infinite canvas, versus ChatGPT Images pipelines that mass-generate dozens of static ads from a product angle. The info gap is role separation — Boards for art-direction memory; ChatGPT Images for volume variants — not “one model to rule campaigns.” API volume note (2026-10-07): for headless static-ad floods, Gemini Nano Banana 2.1 API (~$0.0336/1K standard) is a third lane vs Boards structure and ChatGPT Images chat volume — see nano-banana-21-image-api-price-cut-2026.
Switch or not?
Keep Firefly/CC if legal + Photoshop handoff matter; use ChatGPT Images when you need fast static-ad variants inside a chat seat you already pay for. Midjourney stays for taste kickoffs, not always-on ad factories.
Money / risk
Volume image runs burn credits and human review time. Cap batch size, kill losers fast, and don’t stack Midjourney Fast + Firefly credits + ChatGPT Pro just to look busy. If you add NB2.1 API, meter cost per accepted ad creative, not per generated frame.
Watch on X (curated)
Tap a cover to open the video on X. ToolGap did not produce these.
Mass static ads from ChatGPT Images inside a studio tool
@mikefutia
Volume-ad claim (45+ statics). Treat as throughput demo — still needs brand QA.
Source
ToolGap curation — X design-ad workflow video scan 2026-09-11 · verify independently