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Flux Kontext Dev LoRA | Fast Image Editing With LoRA Support | WaveSpeedAI

wavespeed-ai/flux-kontext-dev-lora

Fast FLUX.1 Kontext [dev] endpoint with LoRA support for rapid image editing using pre-trained adapters for brand and style. 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

Replace 'Feel POWER' with 'WaveSpeedAI'

Your request will cost $0.03 per run.

For $1 you can run this model approximately 33 times.

One more thing::

ExamplesView all

a dog frstingln illustration
Replace 'Feel POWER' with 'WaveSpeedAI'
Transform the image into detailed anime style. Keep the original composition and layout, but render all characters with smooth outlines, large expressive eyes, vibrant hair colors, and soft cel-shading. Background should resemble high-quality anime scenes — painterly skies, stylized lighting, and subtle gradients. Make it feel like a frame from a cinematic anime.
Turn it into a lego style
Turning clothes into bikinis
change the car color to pink
v3ct0r style, simple flat vector art, isolated on white bg, Mona Lisa
v3ct0r style, simple flat vector art, isolated on white bg, a girl
Mona Lisa, blockprint style
A young man with sunglasses, portrait, blockprint 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.