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Flux Kontext Dev | Image-To-Image Text Editing, Open-Source Model | WaveSpeedAI

wavespeed-ai/flux-kontext-dev

FLUX.1 Kontext Dev is an open-weight, open-code image-to-image model that edits images from text prompts for precise, text-guided retouching and style transfer. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Hint: You can drag and drop a file or click to upload

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

Idle

Turn pictures into anime style

Your request will cost $0.025 per run.

For $1 you can run this model approximately 40 times.

One more thing::

ExamplesView all

Turn pictures into anime style
Change the car color to red.
Change the background to a dark, eerie haunted castle with gothic architecture, cracked stone walls, flickering lanterns, and dense fog. Adjust the lighting and shadows on the girl so they match the ominous mood of the new background — cool tones, directional lighting from the castle, and subtle atmospheric glow. Keep the girl's pose and expression intact, but ensure overall harmony between subject and environment.
Turn it into a clay style, soft, handcrafted textures, rounded shapes, colorful modeling clay look
Put the Mona Lisa in sunglasses.
Into Ghibli style
Add the text “COOL” to the image.
Change the background to sky
Turning skateboards into surfboards
Turned into anime style
She is wearing a red bikini
Turn pictures into card style.

README

FLUX.1 Kontext [dev]

FLUX.1 Kontext [dev] is a 12 billion parameter rectified flow transformer capable of editing images based on text instructions.

Key Features

  1. Change existing images based on an edit instruction.
  2. Have character, style and object reference without any finetuning.
  3. Robust consistency allows users to refine an image through multiple successive edits with minimal visual drift.
  4. Trained using guidance distillation, making FLUX.1 Kontext [dev] more efficient.
  5. Open weights to drive new scientific research, and empower artists to develop innovative workflows.