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image-to-image

Flux Kontext Dev Ultra Fast Image To Image Model

wavespeed-ai/flux-kontext-dev-ultra-fast

FLUX.1 Kontext Dev Ultra-Fast is an open-source image-to-image model that edits images from text prompts with open weights and code. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

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

preview
width
height
1024 × 1024 px
Range: 256 - 1536
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 'KONTEXT' with 'WaveSpeedAI' on the juice pouch, keeping the same bubbly font style,gradient colors, soft shadow, and exact position.

Sua solicitação custará $0.02 por execução.

Por $1 você pode executar este modelo aproximadamente 50 vezes.

Mais uma coisa:

ExemplosVer todos

Replace 'KONTEXT' with 'WaveSpeedAI' on the juice pouch, keeping the same bubbly font style,gradient colors, soft shadow, and exact position.
Replace 'Choose joy' with 'WaveSpeedAI' on the juice pouch, keeping the same bubbly font style,gradient colors, soft shadow, and exact position.
Transform the scene to light snowfall in the same location. The scarf has tiny snowflakes on it, and the person’s breath is visible in the cold air.
Change the setting to early autumn. Add fallen leaves around the blanket, the trees turning slightly golden, and both wearing light jackets.
Remove the juice from the picture
same man, Swap the white shirt for a suit
same woman, Add a nice brooch to the clothing
Add seagulls to the original image, keeping the rest unchanged
Replace the green scarf of the child in the original image with a Red Bow tie
Remove the spots on the woman's face，Other things remain unchanged
Remove the seagulls from the image, keep the rest unchanged
Change the background to a vast grassland, keep the rest unchanged

README

FLUX Kontext Dev Ultra Fast — wavespeed-ai/flux-kontext-dev-ultra-fast

FLUX.1 Kontext Dev Ultra Fast is a low-latency image-to-image editing model optimized for rapid iteration. Provide a source image and a natural-language edit instruction, and it performs targeted or global edits while aiming to preserve the original context when requested—ideal for interactive workflows, batch revisions, and quick creative exploration.

Key capabilities

  • Ultra-fast instruction-based image editing from a single input image
  • Strong preservation when you explicitly specify what must remain unchanged
  • Works well for iterative edits: refine the same image across multiple passes
  • Great for practical edits: color changes, background swaps, text edits, cleanup, and light style transforms

Typical use cases

  • Fast retouching and cleanup (lighting/exposure, minor imperfections)
  • Color/material edits (e.g., product variants)
  • Background replacement for marketing creatives
  • Text replacement on posters, packaging, UI mockups
  • Rapid style experimentation with minimal turnaround time

Pricing

$0.02 per image.

Cost per run = num_images × $0.02 Example: num_images = 4 → $0.08

Inputs and outputs

Input:

  • One source image (upload or public URL)
  • One edit instruction (prompt)

Output:

  • One or more edited images (controlled by num_images)

Parameters

  • prompt: Edit instruction describing what to change and what to keep
  • image: Source image
  • width / height: Output resolution
  • num_inference_steps: More steps can improve fidelity but increases latency
  • guidance_scale: Higher values follow the prompt more strongly; too high may over-edit
  • num_images: Number of variations generated per run
  • seed: Fixed value for reproducibility; -1 for random
  • output_format: jpeg or png
  • enable_base64_output: Return BASE64 instead of a URL (API only)
  • enable_sync_mode: Wait for generation and return results directly (API only)

Prompting guide

Use a clear “preserve + edit + constraints” structure:

Template: Keep [what must stay]. Change [what to edit]. Ensure [constraints]. Match [lighting/shadows/style consistency].

Example prompts

  • Keep the subject’s face and pose unchanged. Replace the background with a clean studio backdrop. Match the lighting and shadow direction.
  • Change the shirt color to navy blue. Keep fabric texture and wrinkles consistent.
  • Replace the label text with “WaveSpeedAI”, keeping the same font style, size, and perspective. Do not modify anything else.
  • Remove the objects on the table. Keep the table surface intact and realistic.
  • Apply a soft cinematic grade with slightly warmer tones, without changing composition or identity.

Best practices

  • Do one change per run for maximum control, then iterate.
  • If the edit drifts, lower guidance_scale and strengthen the preserve clause.
  • Fix seed for reproducible comparisons and stable iteration.
  • Match output width/height to the input aspect ratio to avoid distortion.