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Flux 2 Flex Edit API

wavespeed-ai /

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.

image-to-image
Input

Drag & drop करें या upload के लिए click करें

preview
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.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

Transform this image into a divine surreal Renaissance-inspired scene while keeping the original statue and museum structure unchanged. 
Enhance the lighting with warm celestial rays, soft volumetric beams, and floating dust particles for a sacred atmosphere. 
Introduce subtle ethereal glow around the marble surface, enriching texture without altering the sculpture’s form. 
Deepen shadows and add gentle atmospheric haze to create a timeless, mystical mood. 
Overall style: divine surrealism, sacred Renaissance ambience, warm dramatic light, ethereal museum atmosphere.

$0.12per run·~83 / $10

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ExamplesView all

Transform this image into a divine surreal Renaissance-inspired scene while keeping the original statue and museum structure unchanged. 
Enhance the lighting with warm celestial rays, soft volumetric beams, and floating dust particles for a sacred atmosphere. 
Introduce subtle ethereal glow around the marble surface, enriching texture without altering the sculpture’s form. 
Deepen shadows and add gentle atmospheric haze to create a timeless, mystical mood. 
Overall style: divine surrealism, sacred Renaissance ambience, warm dramatic light, ethereal museum atmosphere.
Transform this clean sci-fi corridor into a post-apocalyptic derelict environment while keeping the original architecture and perspective. 
Add damaged metal surfaces, subtle rust, broken light panels, scattered sparks, and flickering emergency red lights. 
Introduce atmospheric smoke, dust haze, and deeper shadows to enhance tension and drama. 
Shift the color palette toward darker tones with hints of red and amber, creating a dangerous, abandoned sci-fi atmosphere. 
Overall style: post-apocalyptic sci-fi corridor, damaged high-tech interior, cinematic moody lighting, immersive dystopian ambience.
Transform this strawberry photo into a high-end Godiva-style black and gold luxury dessert, no real brand,  advertisement, while keeping the original strawberries and composition unchanged. 
Darken the background into a deep matte black with rich cinematic shadows, directing all highlights toward the fruit. 
Add refined golden rim lighting and subtle metallic accents for a premium chocolate-brand atmosphere. 
Enhance the strawberries’ gloss and richness, giving them a decadent, jewel-like shine without exaggeration. 
Overall style: luxury dessert aesthetic, elegant high-contrast mood, premium gourmet presentation.
Transform the scene into a Makoto Shinkai–style cinematic realism: ultra-detailed sky with dramatic clouds, glowing sunlight beams breaking through, vibrant and transparent colors, enhanced atmospheric depth, lens-flare highlights, high-saturation meadow with shimmering flowers, gentle breeze motion in the girl’s dress and hair, rich contrast and emotional light, filmic composition.
blurry, distorted anatomy, extra limbs, artificial texture, overexposed light, monochrome, muddy colors
“Transform this image into a Scandinavian design exhibition poster. Keep the product as the hero object, but redesign the entire composition with bold Nordic minimalism: large clean negative space, muted beige and warm natural tones, modern geometric layout, soft ambient daylight, subtle shadows. Add refined Scandinavian-style typography at the top or sides (non-existing text), using thin sans-serif fonts and grid-based alignment. The overall feeling should be calm, elegant, curated—like a Copenhagen or Stockholm design fair poster. No clutter, no glossy commercial style; focus on shape, material, and minimalist beauty.

Related Models

README

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 – ’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.
Accessibility:This website uses AI models provided by third parties.

Flux 2 Flex Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-flex/edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux 2 Flex Edit below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-flex/edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/flux-2-flex/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": -1,
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/flux-2-flex/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Flux 2 Flex Edit API — Frequently asked questions

What is the Flux 2 Flex Edit API?

Flux 2 Flex Edit is a WaveSpeedAI model for image editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Flux 2 Flex Edit API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-flex-edit.

How much does Flux 2 Flex Edit cost per run?

Flux 2 Flex Edit starts at $0.12 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux 2 Flex Edit accept?

Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-flex-edit.

How long does Flux 2 Flex Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 58 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Flux 2 Flex Edit outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.