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
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Brand asset refinement with style or reference images
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Typography and layout touch-ups in existing designs
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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:
- FLUX.2 [dev] Text-to-Image – lightweight base model optimised for speed and LoRA training.
- FLUX.2 [dev] Edit – fast, style-consistent edits on existing images with a lean architecture.
- FLUX.2 [flex] Text-to-Image – versatile, style-rich generation with broader aesthetics at high speed.
- FLUX.2 [pro] Text-to-Image – higher-capacity model for maximum-quality hero shots and demanding production work.
- FLUX.2 [pro] Edit – premium editing for detailed, high-fidelity transformations on critical assets.
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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| images | array | Yes | [] | 1 ~ 3 items | List of URLs of input images for editing. The maximum number of images is 3. |
| size | string | No | - | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| enable_sync_mode | boolean | No | false | - | 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_output | boolean | No | false | - | 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |