Workflow collection
GPT Image prompts workflow
A repeatable GPT Image prompts workflow turns one clear brief into poster, product, character, or video-keyframe assets without rewriting the prompt from scratch. The workflow separates fixed requirements from creative choices, tests one composition, records useful revisions, and hands the approved image to motion or layout only when the still works.
Workflow steps
Step 1
Define the job
Write the audience, channel, asset type, aspect ratio, main subject, and required message. A poster, product photo, character sheet, and video keyframe need different composition rules.
Step 2
Separate fixed and flexible details
Lock identity, product geometry, brand colors, required objects, and safe zones. Keep mood, background styling, props, and secondary lighting flexible unless they are essential.
Step 3
Generate one baseline
Choose the closest prompt example, replace its placeholders, and create a baseline image. Judge subject accuracy and composition before polishing style details.
Step 4
Revise with delta instructions
Preserve the parts that work and name only the change: enlarge the headline-safe area, keep the same face, soften the key light, or remove one prop.
Step 5
Run a practical quality check
Check anatomy, identity, product shape, text zones, crop safety, material detail, and unwanted marks at the final display size—not only in a large preview.
Step 6
Hand off the approved still
Export the approved image, then add accurate typography in a layout tool or create a separate motion prompt for video. Keep the final prompt and chosen image together for later revisions.
Starter prompts
Browse prompt library · Full prompt library
FAQ
- Where do prompts fit?
- Prompts on tacotaco are full multi-step examples; this workflow page is the lightweight operating procedure.
- Is GPT Image live on tacotaco?
- Browse prompts to copy prompts; generation happens in your ChatGPT/GPT Image workspace.
- Why should I revise one element at a time?
- Changing subject, composition, palette, light, and ratio together makes it impossible to know which instruction improved or damaged the result.
- When is a prompt ready to reuse?
- It is reusable when placeholders are clear, fixed constraints are explicit, the output survives a second test, and later edits do not require rebuilding the whole brief.
