FLUX.1 Kontext

Example prompts for FLUX.1 Kontext

The same prompts are behind the “Try an example” button in the input box; each click loads the next one.

• Product shot

  Matte black ceramic mug on a pale linen surface, soft window light from the left, shallow depth of field, editorial product photography

• Portrait

  Close-up portrait of an older woman laughing, natural window light, film grain, 85mm lens, shallow depth of field

• Landscape

  Misty pine forest at dawn, low fog between the trunks, cold blue light, wide shot

Flux Kontext online vs. running it yourself

Most people searching for Flux Kontext land on the open-weights release and a ComfyUI workflow. That route is free but needs a capable GPU and some setup. This page is the other route: the hosted model, in a browser.

• Flux Kontext dev (open weights)

  Black Forest Labs published a dev checkpoint you can download and run locally, usually through ComfyUI with a Kontext workflow, GGUF quantisations for smaller cards and LoRAs for specific styles. You control everything, and you pay for it in VRAM and setup time.

• Flux Kontext pro and max (hosted)

  The pro and max tiers are only available through hosted APIs. This site runs Flux Kontext through its model provider's API; the provider exposes a single Kontext model and does not say which tier sits behind it, so we don't claim one.

• What you get here

  Upload a photo, type the change, get the edited image back in 18 to 27 seconds across our runs, for 5 credits. No workflow nodes, no model downloads, and the same prompt can be rerun on Nano Banana, Seedream or GPT Image from the same dropdown.

• What you don't get

  LoRAs, custom samplers, seeds and the other knobs a local ComfyUI setup gives you. If you need those, run the dev model yourself; if you need a quick, reliable edit, the hosted Flux Kontext is the faster path.

Why FLUX.1 Kontext on AI Image Tools

• Built for editing, not for starting from nothing

  Give it a photo and an instruction. It is the model the site reaches for whenever the job is "change this part, keep the rest", which is most of the toolkit.

• The fastest option on the site

  Our edit runs came back in 18 to 27 seconds. Nano Banana, at the same price, can take several minutes on the same job when it is busy.

• One image in, by design

  Its input field takes a single image rather than a list. That is why Virtual Try-On does not offer it: it would see the person and have to guess the garment.

• Same 5 credits as the cheapest tier

  Speed here does not cost extra. Spend the difference on running two variations instead of one.

Every image model in one place

Pick any of these from the Model menu above; the price is shown before you generate. Each name links to what that model is good at. Compare every tier.

• Z-Image Turbo

  Alibaba · cheapest and fastest, text-to-image only

  1 credits per image

• Seedream 5 Pro · 1K

  ByteDance · same model as 2K at half the price

  9 credits per image

• GPT Image 2.5 Flare · 2K

  OpenAI · same price as Sunburst, tuned for speed and volume

  13 credits per image

• Qwen Image 3 · 2K

  Alibaba · strong at readable text inside the image

  6 credits per image

• Nano Banana

  Google Gemini 2.5 Flash · fastest, cheapest

  5 credits per image

• Nano Banana 2.1 · 1K

  Google · newest Nano Banana, sharper text, banner ratios

  10 credits per image

• Nano Banana 2.1 · 2K

  Google · same model at 2K

  15 credits per image

• Nano Banana 2.1 · 4K

  Google · for print or heavy cropping

  23 credits per image

• Ideogram V3 · Turbo

  Ideogram · text inside the image, fastest tier

  5 credits per image

• Ideogram V3 · Balanced

  Ideogram · text inside the image, posters and logos

  9 credits per image

• Ideogram V3 · Quality

  Ideogram · text inside the image, highest detail

  13 credits per image

• FLUX.1 Kontext

  Black Forest Labs · fastest, about 5s per image

  5 credits per image

• Seedream 5 Lite

  ByteDance · good at Chinese text and posters

  7 credits per image

• Seedream 5 Pro · 2K

  ByteDance · most photorealistic, highest detail

  18 credits per image

• GPT Image 2 · 2K

  OpenAI · good with text in images, half the price of 2.5

  7 credits per image

• GPT Image 2 · 4K

  OpenAI · for print or heavy cropping

  10 credits per image

• GPT Image 2.5 · 2K

  OpenAI · newest, better instruction following

  13 credits per image

• GPT Image 2.5 · 4K

  OpenAI · newest, highest resolution

  20 credits per image

FLUX.1 Kontext specifications

Model

FLUX.1 Kontext, Black Forest Labs

Modes

Text to Image and Image to Image

Input

One image up to 10 MB, plus a prompt

Sizes

1:1, 4:3, 3:4, 16:9, 9:16. Picking "Same as input" resolves to the closest of these

Output

PNG, saved to My Creations

Cost

5 credits per image

Time

18 to 27 seconds across our edit runs

Not available for

Virtual Try-On, which needs a model that reads two images

Free plan

10 credits on sign-in; free downloads carry a small watermark

How to use FLUX.1 Kontext

1. Step 1

   Upload the photo

   JPG, PNG, WebP or HEIC up to 10 MB. Phone photos are fine.

2. Step 2

   Name one change

   "Make it winter, keep the building and the people exactly as they are." One change per run beats a list of five.

3. Step 3

   Compare and iterate

   Each run is cheap and quick, so stack edits across runs instead of writing one long prompt.

How to write a prompt for FLUX.1 Kontext

• One change per run

  It is fast and cheap enough that chaining beats stacking. Each pass gives you something to check.

• Say what must stay

  "Keep the face, pose and background" is the single most useful sentence you can add to an edit prompt.

• Describe the result, not the process

  "The wall is painted sage green" works better than "repaint the wall".

• Match the light

  If you add an object, say where the light comes from so it sits in the scene instead of floating on top.