AI image making

Member lesson

Reference, not description

Lesson 4 of 12 in AI image making.

How To Work With Reference Images | Generative AI | Adobe · Adobe
Lesson

Words are re-interpreted every run. An image is not. That single fact is why a reference-led workflow beats a description-led one on nearly every measure that matters to a paying client: consistency, speed, and the number of rounds before approval.

depthfixes spaceposefixes the bodyedgesfixes the outlinewhat is left for the promptmaterial, light, moodcomposition becomes a decision rather than a lottery
Depth, pose and edge maps feeding one generation, each fixing a different property.
Split in two. On the left, four people whisper a message along a line, and the chairs they each draw drift further apart. On the right, four people copy the same pinned photograph of a chair, and their drawings all match.
Whispered words drift. A pinned picture keeps everyone drawing the same chair.
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Members answer these 3 questions and keep the ticket for this lesson. Every lesson has one.

  1. Question 1, locked

    Which of these words means this? “A workflow that starts from an image and changes one thing about it.”

    • Identity drift
    • Delivery spec
    • Reference-led
    • Throughput
  2. Question 2, locked

    Which of these words means this? “Holding a scene and replacing only the subject. The most reliable move in the field.”

    • Grade
    • Physical plausibility
    • Swap
    • Character sheet
  3. Question 3, locked

    Which of these words means this? “The same words producing different pictures on different runs.”

    • Upscale
    • Set extension
    • Description drift
    • Inpainting

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