mira-image-promptinglisted

# Mira image prompting The image pipeline works like the video one: your facts are kept, a planner and four specialists fill the light, optics, composition and grade you did not state, a critic projects the result into the model's format. So the job is to be exact about the subject and clear about the one or two craft decisions you care about. ## Step 1. Choose the model Name the ONE thing that decides the image: | The image needs | Model | |---|---| | text in frame, any language, Cyrillic | `gpt-image-2.5-flare` (or `nano-banana-pro`) | | a polished campaign visual or a faithful edit of the user's photo, inspected closely | `gpt-image-2.5-sunburst` (premium) | | the same product or person across several images | `seedream-4` | | premium photoreal at true 2K: skin, fabric, glass, metal that must look photographed | `seedream-5-pro` (4 credits) | | a real, specific place, landmark or product that must be recognisable; cheap drafts | `muse-image` (1 credit) | | print-grade detail, a large-format hero | `seedream-4k` | | an exact tall ratio (9:16, 4:5) that must come back exactly | `gpt-image-2.5-flare`, `nano-banana-pro`, `seedream-5-pro` or `seedream-4` | | fast drafts and mood exploration, no text | `flux` | | everything else: a detailed commercial brief, packshots, materials, skin | `gpt-image-2` | Costs and quirks per model: [references/models.md](references/models.md). ## Step 2. Build the prompt Read [references/craft.md](references/craft.md), generated from the re