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Guide6 min read

FLUX.1 Kontext Max Prompts: 6 Templates With Real Outputs

Interior, material swap, product shot, travel posters and a poster edit, each with a real output and a one-click link to generate it.

HiAPI EditorialFLUX.1 KontextPromptsGuide

1. Interior scene: a golden-hour reading corner

FLUX.1 Kontext Max output: a reading corner with a linen armchair, walnut side table and low afternoon sun

This is a real FLUX.1 Kontext Max output, and the prompt is printed in full below. The model is live on HiAPI: open the model page to generate, and new accounts get 200 free credits, about 1.4 images.

Settings: 16:9

A quiet reading corner by a tall window at golden hour: a linen armchair, a stack of art books and a ceramic cup on a walnut side table, warm afternoon light, soft shadows, editorial interior photography.

Generate with this prompt →

Four decisions carry the frame: the space, the furniture and props, the light, the photographic style. golden hour and soft shadows set the color temperature and the depth, so keep both phrases when you swap in your own room.

2. Material swap: linen armchair to forest-green velvet

FLUX.1 Kontext Max edit: the same reading corner with a forest-green velvet armchair and a slim brass floor lamp

Upload the reading corner above as the source image first, then paste this prompt. The link fills the prompt only, so the photograph is yours to add (input_image in the API).

Source image: https://static.hiapi.ai/admin-assets/flux-1-kontext-max/2026/10/26/1793005013365-132a4d4eb55e0852-f-t2i-golden.jpg

Settings: leave the aspect ratio empty to keep the original framing

Change the linen armchair to a deep forest-green velvet armchair, add a slim brass floor lamp beside it, and keep the window, books, cup, table and afternoon light unchanged.

Generate with this prompt →

Split the instruction in two: Change ... names the new material, keep ... unchanged lists what must not move. The lamp rides along in the same sentence on and, and the window, books, cup, table and light stay where they were.

3. Product shot: a perfume bottle on wet slate

FLUX.1 Kontext Max product shot: a matte black ceramic perfume bottle on wet slate under hard side light, deep green background

Settings: 1:1 or 4:3; the square frame lays out better

A matte black ceramic perfume bottle on wet slate, dramatic side light, deep green background, luxury product photography, high detail

Generate with this prompt →

Short prompts hold product shots together: one sentence for the bottle, one for the surface and background, one for the light, then high detail to close. A named surface like wet slate earns its keep — the reflection lands under the bottle on its own.

4. Travel poster: Lisbon

FLUX.1 Kontext Max travel poster: LISBON in bold condensed type at the top, a yellow tram on a steep pastel street, blue and cream tiled facades

Settings: 3:4

A minimalist travel poster for Lisbon: the word LISBON set in bold condensed sans-serif at the top, yellow tram climbing a steep pastel street, tiled facades in blue and cream, warm evening light, flat vector style, generous margins.

Generate with this prompt →

The city name sits in a fixed slot: the word LISBON set in bold condensed sans-serif at the top. One subject, one action (a tram climbing), two colors, and flat vector style, generous margins locks the flat illustration and the white space.

5. Travel poster: a second city, same template

FLUX.1 Kontext Max travel poster: KYOTO in bold condensed type, a vermilion torii gate, cream and indigo palette

Settings: portrait, 3:4 or 9:16

A minimalist travel poster for KYOTO: the word KYOTO in bold condensed sans-serif at the top, a vermilion torii gate, cream and indigo palette, flat vector style, generous margins

Generate with this prompt →

Only three things changed from the Lisbon prompt: the city, the landmark and the palette. bold condensed sans-serif and generous margins are what make a stack of these read as one series.

6. Poster edit: KYOTO becomes OSAKA

FLUX.1 Kontext Max edit: the Kyoto poster with OSAKA as the headline, deep teal replacing vermilion, layout unchanged

Upload the Kyoto poster as the source image, then paste this prompt. The prefill covers the prompt only.

Source image: https://static.hiapi.ai/admin-assets/flux-1-kontext-max/2026/10/26/1793005032085-a13fc7d3aa7357b7-f-case-t2i-kyoto.png

Settings: leave the aspect ratio empty to keep the original framing

Change the word KYOTO to OSAKA and shift the palette from vermilion to deep teal; keep the layout, margins, torii illustration and typography style unchanged

Generate with this prompt →

Type inside an image needs both sides named in one line: the new word and the new palette, then layout, margins, torii illustration and typography style as the keep list. The words change, the layout holds, and one poster covers a second city.

How these prompts are built

  • Subject, setting, light, style, in that order; quote poster text and give its position; close with what to exclude.
  • For edits, split the prompt into Change ... and keep ... unchanged; whatever you leave out is the first thing to drift.
  • Prompts cap at 4,000 characters and take one source image. At $0.0715 per image, $10 covers about 139 runs — enough to tune one prompt to final.

FAQ

Does the link carry my source image too? No. It fills the prompt only; upload the original on the model page for the edit examples.

Can I write the prompt in another language? Yes. Non-English prompts are translated to English before generation, up to 4,000 characters.

Is an edit priced differently from a fresh image? No. Text-to-image and editing share the same per-image price, and failed tasks refund the hold.


Copy the reading corner prompt above and generate your first image →, with 16:9 selected.

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