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GPT-Image-2.0Playground

▲FIELD-TESTED · UPDATED WEEKLY

Best practices for GPT Image 2.0.

Six workflows we actually ran across 800+ prompts. Every recipe ships with its raw outputs and methodology on GitHub — so you can reproduce and critique.

▲SIX TESTED PLAYBOOKS

Pick one and run it

  1. 01

    The 4K cost trick

    Generate at quality=low ($0.01), upscale to 4K. About 27× cheaper than native 4K.

    Read playbook
  2. 02

    Text-first prompts

    Put the words in quotes as the first clause. Typography accuracy depends on it.

    Read playbook
  3. 03

    Multi-image consistency

    Re-use seed + reference across up to 8 coherent images. Comics, storyboards, decks.

    Read playbook
  4. 04

    CJK & multilingual text

    Clean Chinese/Japanese/Korean strokes. Avoid garbled characters.

    Read playbook
  5. 05

    Mask-based edits

    White = edit, black = preserve. Swap backgrounds or inpaint defects in one call.

    Read playbook
  6. 06

    Thinking vs Instant

    When to pay 2× for reasoning — posters, infographics, UI mockups.

    Read playbook