Design & Media: Creating High-Fidelity Visuals using GPT Images 2.5

Creative Stack & Specs

• Core Toolset: OpenAI GPT Images 2.5 (Models: Flare or Sunburst)
• Target Medium: Photorealistic Digital Imagery / Custom Resolution up to 4K
• Key Parameters:
  • Model selection (Flare for speed | Sunburst for quality)
  • Quality levels (Low to Max)
  • Custom resolutions (upto 4k)

Step-by-Step Production Workflow

1. Initial Prompt Construction:string_template으로 작성하여 예측 가능한 결과 도출:
   [Overall outcome] -> [Object] -> [Composition] -> [Style] -> [Constraints/Limitations]
2. Complex Scene Setup: If generating a complex scene, separate the prompt into specific blocks: {@scene}, {@object}, {@details}, and {@limitations}. For text inclusion, specify exact phrases in quotes with font appearance instructions.
3. Sketching Phase (Optional): Use the Sketch function to provide hand-drawn mouse sketches as an initial structural guide before applying descriptive prompts.
4. Iterative Refinement & Post-processing: To maintain control during editing, change only one variable at a time or explicitly list items that must be preserved from previous versions. Apply local edits via commental requests on specific image areas rather than re-prompting everything.

Style Consistency & Quality Controls

• Reference Management: When using multiple reference images, pre-define the role of each individual image prior to generation.
• Instruction Adherence: Utilize iterative prompting (

! DYOR (Do Your Own Research)