Thermal triple exposureExample 01
flux-kontext-max
flux-kontext-max is available through TTAPI. State-of-the-art prompt adherence, photoreal detail, and in-context image editing.
InputPrompttext
Models8available
FlowAsyncresult URL
Price5 quota/ image
Thermal triple exposureExample 01
Autumn park conversationExample 02
Muertos dancerExample 03
Charcoal mercenaryExample 04Examples
Prompt to image, in context
Prompt
An experimental, psychedelic portrait features a triple exposure of a woman's face, layered and shifted horizontally to create a disorienting, motion-blurred effect. The facial features overlap intricately, showing multiple sets of eyes, noses, and lips that blend into one another. A heavy, tactile film grain and low-fidelity print texture coat the entire image, giving it the raw, gritty look of a vintage underground punk zine or a distorted analog video still. The composition explodes with a saturated, rainbow-colored thermal prism effect. Neon shades of hot pink, electric blue, bright yellow, and acidic green bleed into the woman's face and straight blonde hair. The intense color channels misalign and blend unevenly across the shadows and highlights, enhancing the chaotic, hallucinatory, and dreamlike atmosphere of the artwork. <lora:Purple_Graphics_KR2:1.3>
Prompt
Elderly white man and young woman sitting on European park bench in autumn, golden hour backlight halo, warm knit scarves, candid gentle smile, fallen yellow maple leaves, blurred crowd background, natural candid documentary photo, soft bokeh, warm earthy color palette --ar 1:1
Prompt
Mexican Dia de los Muertos male dancer mid-jump, colorful sugar skull face paint, embroidered black mariachi suit, floating gold confetti, neon bar sign background, dramatic flash lighting, dynamic motion shot, cinematic high contrast, sharp texture details --ar 16:9
Capabilities
What you can build with flux-kontext-max
Prompt driven generation
Submit a concise prompt and get production-ready image output through one TTAPI job.
Core controls only
Keep integration simple with prompt, model, output settings, and callback handling.
Async result flow
Use polling or webhook callbacks so long-running generations do not block your UI.
Ready for product UI
Return Flux.2 Pro results that can be displayed, stored, or passed into downstream workflows.
Pricing
Per-action, in quota
Usage is metered in quota by model, action, and output settings.
API request
Headers and submit parameters
Use the endpoint below with your TTAPI key and the request fields shown.
/bfl/v1/flux-kontext-maxSubmit a flux-kontext-max image task.
Official reference/flux/fetchRetrieve the generated image task result.
Official referenceHeaders
TT-API-KEYstringrequiredYour TTAPI API key.
Content-TypestringrequiredUse application/json.
Body
promptstringrequiredText description of the target image.
input_imagestringoptionalReference image URL or base64 value.
input_image_2stringoptionalSecond reference image for supported Flux.2 models.
input_image_3stringoptionalThird reference image for supported Flux.2 models.
input_image_4stringoptionalFourth reference image for supported Flux.2 models.
widthstringoptionalRequested output width.
heightstringoptionalRequested output height.
seedstringoptionalSeed for reproducible output.
output_formatenumoptionaljpeg or png, subject to model support.
safety_tolerancestringoptionalSupported safety tolerance value.
webhook_urlstringoptionalCallback URL for asynchronous completion.
Integrate
From key to first result
Copy the resolved endpoint, authentication headers, and request body for this model.
curl --request POST \
--url https://api.ttapi.io/bfl/v1/flux-kontext-max \
--header 'TT-API-KEY: $TTAPI_KEY' \
--header 'Content-Type: application/json' \
--data '{"prompt":"editorial portrait in soft window light","output_format":"jpeg","webhook_url":"https://example.com/webhooks/flux"}'Related
