AI TRAINING
Midjourney & Firefly for Brand-Safe Imagery
Master AI image generation tools to produce on-brand, IP-safe visuals at scale.
What it covers
This hands-on workshop teaches marketing, design, and brand teams how to use Midjourney and Adobe Firefly to generate consistent, brand-aligned imagery without legal exposure. Participants learn advanced prompting techniques, style reference workflows, and how to integrate AI-generated assets into existing production pipelines. The programme covers intellectual property risk, model differences, and practical governance for commercial use. By the end, teams can produce campaign-ready visuals faster while maintaining brand standards.
What you'll be able to do
- Write structured Midjourney prompts using style references and parameters to reproduce a consistent brand aesthetic across multiple outputs
- Use Adobe Firefly's generative fill and text-to-image features to produce commercially licensable visuals within Creative Cloud
- Identify which AI image providers are safe for commercial use and articulate the IP risks of others
- Build a reusable brand prompt library with documented style seeds and negative prompt filters
- Apply a visual governance checklist before publishing any AI-generated asset in a campaign
Topics covered
- Midjourney prompting fundamentals: parameters, style references (--sref), and seed control
- Adobe Firefly's IP-safe training data and commercial licensing model
- Building and maintaining a brand style library for AI generation
- Negative prompting and quality control for consistent output
- Integrating AI imagery into Adobe Creative Cloud workflows
- Intellectual property risk: what is and isn't safe for commercial use
- Batch production workflows and naming/versioning conventions
- Governance checklist for approving AI-generated visuals
Delivery
Typically delivered as a 1–2 day in-person or live virtual workshop with a 70% hands-on ratio. Participants need access to a Midjourney subscription (Basic or Standard) and an Adobe Creative Cloud account with Firefly enabled. Materials include a starter prompt library, brand-safe checklist, and a style reference template. A follow-up async review session (1–2 hours) can be added to critique real brand assets produced after the workshop.
What makes it work
- Agreeing on a small set of canonical brand prompts and style seeds before the workshop and refining them live
- Involving the legal or brand compliance team in defining the visual governance checklist from day one
- Setting up a shared prompt library (Notion, Confluence, or Adobe Libraries) so outputs and learnings are institutional, not individual
- Running a structured 30-day post-workshop sprint where teams submit real campaign assets for peer critique
Common mistakes
- Using Midjourney outputs commercially without understanding its training data and licence terms, creating IP exposure
- Treating every AI tool as interchangeable — Firefly's commercial safety guarantee is a structural differentiator that teams overlook
- Skipping style reference documentation, leading to inconsistent outputs that erode brand standards over time
- Piloting AI imagery in isolation from the brand/legal team, resulting in outputs that fail internal approval and waste effort
When NOT to take this
This workshop is not the right fit for teams that have not yet aligned internally on brand guidelines or visual identity — without a defined brand standard to encode, participants cannot build meaningful prompt libraries and the workshop devolves into generic AI experimentation.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.