Flux 2 Flex Edit

Flux 2 Flex Edit

Playground

Try it on WavespeedAI!

FLUX.2 [flex] Edit delivers precise image-to-image editing from Black Forest Labs—apply natural-language instructions and exact hex color control for consistent, studio-quality results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX.2 [flex] — Image-to-Image Edit

FLUX.2 [flex] Edit is a configurable image editing model built on FLUX.2 [flex], aimed at teams that need fine control over how edits are applied. It can work with one or multiple reference images and lets you tune quality–speed trade-offs, making it a good fit for style-heavy, budget-conscious production workflows.


Act Well On

  • Multi-image product and lifestyle compositions

  • Brand asset refinement with style or reference images

  • Typography and layout touch-ups in existing designs

  • E-commerce and marketing visuals that need frequent updates


Why it looks great?

• Multi-image aware composition

Combine several reference images in a single edit when building product collages or style transfers. You can point to specific references by index (for example, “use the background from image 2 and the typography from image 4”) or simply describe them in the prompt.

• Adjustable quality and speed

Control inference steps based on how complex the edit is: quick colour swaps or minor clean-up can run with fewer steps, while dense multi-image edits can use higher settings for extra detail.

• Guidance control for edits

Decide how strictly the model should follow your instructions versus preserving the original look. Dial guidance lower for looser, creative reinterpretations; raise it when you want near-literal edits.

• Strong text and layout handling

Well suited for fixing signage, labels, and UI text inside images, keeping typography sharp while updating wording, colours, or layout.

• Natural language plus hex colour control

Describe edits in plain language (“make the jacket match the blue from our brand palette”) and use hex codes when you need exact corporate colours for products, UI elements, or backgrounds.

• LoRA- and pipeline-friendly

Works smoothly with LoRA adapters for brand or domain-specific styles, and its configurable nature makes it easy to slot into larger editing pipelines that need both flexibility and cost control.

• Output ready for production

Exports JPEG so edited assets can go straight into design tools, websites, or print-oriented workflows without extra conversion.


Pricing

Simple per-image billing:

  • $0.12 per edited image

FLUX.2 family on WaveSpeedAI

Mix and match FLUX.2 models for a full generate-and-edit workflow:


More Image Tools on WaveSpeedAI

  • Nano Banana Pro – Google’s Gemini-based text-to-image model for sharp, coherent, prompt-faithful visuals that work great for ads, keyframes, and product shots.
  • Seedream V4 – ByteDance’s style-consistent, multi-image generator ideal for posters, campaigns, and large batches of on-brand illustrations.
  • Qwen Edit Plus – an enhanced Qwen-based image editor for precise inpainting, cleanup, and local style changes while preserving overall composition.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-flex/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagesarrayYes[]1 ~ 3 itemsList of URLs of input images for editing. The maximum number of images is 3.
sizestringNo-256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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