Vidney

AI Image Generator

Flux Kontext

Generate AI image with Flux Kontext: text to image and image to image, all from one Vidney workspace.

Vidney Workbench

22 models
0/2000
Required: 6 credits

Output

Sample

What Flux Kontext Pro does well

01

Text painted into the scene

A weathered shop sign on red brick, both lines spelled exactly as the prompt wrote them. Mortar joints run straight through the cream letterforms, so the paint reads as applied to the wall rather than pasted on top.

Text painted into the scene: Photograph of a hand-painted ghost sign on the side of an old red brick building, square frame, shot straight on in late afternoon sun. Large faded cream block letters read "ALDER & QUILL" across the top and "BOOKBINDERS" on a second line beneath, each letter painted directly onto the bricks so the mortar lines run through the paint. The paint is weathered and lightly chipped but every letter stays fully legible, with a thin dark drop shadow painted behind each one. Warm raking light from the left picks out the brick texture, and a downpipe casts a long shadow on the right. A few strands of ivy climb the lower edge. Photoreal, 50mm lens, straight-on perspective, no keystoning. Keep every word exactly as written, no extra text, no logos, no watermark.
Prompt

Photograph of a hand-painted ghost sign on the side of an old red brick building, square frame, shot straight on in late afternoon sun. Large faded cream block letters read "ALDER & QUILL" across the top and "BOOKBINDERS" on a second line beneath, each letter painted directly onto the bricks so the mortar lines run through the paint. The paint is weathered and lightly chipped but every letter stays fully legible, with a thin dark drop shadow painted behind each one. Warm raking light from the left picks out the brick texture, and a downpipe casts a long shadow on the right. A few strands of ivy climb the lower edge. Photoreal, 50mm lens, straight-on perspective, no keystoning. Keep every word exactly as written, no extra text, no logos, no watermark.

02

Material texture under one light

Glossy celadon glaze stops in a clean line above the raw clay foot, and a thin curl of steam rises off black coffee. One soft window light, and glaze, clay, linen and steam each answer it differently.

Material texture under one light: Macro product photograph of a hand-thrown stoneware mug with a thick celadon glaze that thickens into a rounded bead just above the bare clay foot ring, with no glaze touching the cloth or the table, resting on a rumpled natural linen cloth beside a window, a thin curl of steam rising from black coffee inside. Square frame. One soft window light from the left, a crisp highlight along the glaze, fine dark speckles in the unglazed clay at the foot, visible linen weave, the background falling into warm grey. Photoreal, 100mm macro look, shallow depth of field. No text, no logos, no watermark.
Prompt

Macro product photograph of a hand-thrown stoneware mug with a thick celadon glaze that thickens into a rounded bead just above the bare clay foot ring, with no glaze touching the cloth or the table, resting on a rumpled natural linen cloth beside a window, a thin curl of steam rising from black coffee inside. Square frame. One soft window light from the left, a crisp highlight along the glaze, fine dark speckles in the unglazed clay at the foot, visible linen weave, the background falling into warm grey. Photoreal, 100mm macro look, shallow depth of field. No text, no logos, no watermark.

03

Style held across the frame

A hillside village at dusk in flat gouache: navy slope, teal sky, a pale moon, amber windows and one red cable car. Edges are color meeting color, not ink, brush grain in every shape, one narrow palette throughout.

Style held across the frame: Flat gouache travel poster illustration of a small hillside village at dusk, square composition: terraced stone houses with warm lit windows climbing the slope, a tiny red cable car on a wire up to a lookout, winding stone steps, a small square with a fountain, pine trees, amber street lamps. Palette limited to deep navy, teal, warm amber and coral pink. Simplified geometric shapes, flat colors with soft visible brush texture, one consistent light from the upper right, no outlines. No text, no signage, no borders, no watermark.
Prompt

Flat gouache travel poster illustration of a small hillside village at dusk, square composition: terraced stone houses with warm lit windows climbing the slope, a tiny red cable car on a wire up to a lookout, winding stone steps, a small square with a fountain, pine trees, amber street lamps. Palette limited to deep navy, teal, warm amber and coral pink. Simplified geometric shapes, flat colors with soft visible brush texture, one consistent light from the upper right, no outlines. No text, no signage, no borders, no watermark.

What you can make

Background swaps on a fixed hero

Change only what is behind the product: label, cap and highlights stay pixel-identical across every variant.

Targeted retouching by instruction

Remove a cable, recolor a wall, restyle a garment: one sentence instead of a mask and a brush.

Text and copy fixes in artwork

Fix a typo or localize a line in place, matching the original font, color and position.

Clean restyle of one region

Audition several treatments on one region against the same fixed source, with no bleed into neighboring pixels.

The technology behind Flux Kontext

How the model works, based on public documentation and sourced evidence.

FLUX.1 Kontext is a flow matching model, a rectified flow transformer that works in the latent space of an image autoencoder rather than on raw pixels. According to Black Forest Labs' technical report, it is trained with a single velocity prediction objective on a concatenated sequence of context and instruction tokens, which lets one unified model handle both text-to-image generation and image editing without separate pipelines.

The big change from earlier FLUX models is in-context generation: you can prompt with an image plus a text instruction, not just text. That enables local edits, scene transformations and multi-step refinements while preserving a reference character or object across different scenes and viewpoints. Black Forest Labs says the Pro version is built for iterative workflows and runs up to 8x faster than leading diffusion-based editors at the time of release.

Black Forest Labs openly lists the model's limits: excessive multi-turn editing sessions can introduce visual artifacts and identity drift, instruction following fails in rare cases, and the model has limited world knowledge. Because Kontext regenerates the full image on each edit rather than only a masked region, sharpness and fine detail can degrade over long editing chains.

On safety and provenance, the FLUX API attaches cryptographically signed C2PA metadata to outputs to mark them as model-generated. Prompts, uploaded images and outputs pass through content filters, including non-adjustable CSAM and NCII filters from Hive, and Black Forest Labs worked with the Internet Watch Foundation to filter training data before release.

Sources: bfl.ai · arxiv.org · huggingface.co · x.com

Who reaches for Flux Kontext, and for what

Flux Kontext is Black Forest Labs' in-context image editor, and the people who depend on it have an image they mostly want to keep. Product and packaging teams change a bottle's setting while the cap, the embossing and the label wording stay pixel-identical. Retouchers run a single instruction (swap this background, restyle this jacket, recolor this wall) and trust every untouched region to come back unchanged. Brand designers carry a hero asset through a chain of small edits without it drifting. Marketers fix a typo or rewrite a line of copy already set inside an image, no return trip to a layout tool. The common need is surgical precision, not invention. Pick Flux Kontext over Nano Banana when the job is one faithful edit to one image with everything else preserved exactly, or a run of successive edits that must not accumulate drift. Reach for Nano Banana instead when you are fusing several reference images into a new composition or editing conversationally across many turns. Flux Kontext ships in Pro and Max tiers, both available on Vidney from one credit balance.

How to generate image with Flux Kontext

Create AI image with Flux Kontext on Vidney in three steps.

Glowing panels with one model selected from severalStreams of light forming into an emerging imageA finished image materializing from a vortex of glowing light

Flux Kontext vs Flux 3 Klein vs Nano Banana 2.1 vs GPT Image 2.5

Specs side by side with similar models, all runnable on Vidney.

Flux KontextFlux 3 KleinNano Banana 2.1GPT Image 2.5
Task modesText to Image · Image to ImageText to Image · Image to ImageText to Image · Image to ImageText to Image · Image to Image
Resolution—1K · 2K · 4K1K · 2K · 4K1K · 2K · 4K
Cost6–12 credits per generation3 credits per generation3 credits per generation3–5 credits per generation

What creators say about Flux Kontext

Recurring themes from public reviews, comparisons and creator write-ups. Both the good and the bad.

What gets praised

  • Creators consistently praise Kontext Pro for keeping a character's face, clothing and defining features intact across scene changes. In the Artificial Analysis image editing arena, over 20,000 community votes placed FLUX.1 Kontext at the top of the leaderboard, statistically tied with GPT-4o.

  • Reviewers frequently highlight its precision on local edits: it changes only what the prompt asks for and leaves the rest of the image untouched, where GPT-4o tends to redraw more than requested and lose the original subject.

  • Users also value its speed for iterative work, with edits returning in seconds, which makes rapid step-by-step refinement of a single image practical.

Common complaints

  • A common complaint is quality drift over long editing chains: after several successive edits, images pick up artifacts, softness or subtle identity changes, a limitation Black Forest Labs itself acknowledges.

  • Some users report that consistency breaks down on large context changes, such as moving a character to a drastically different scene, and find the model weaker than GPT-4o at big transformations like style transfers and scene expansion, with occasional soft or blurry outputs.

Related models

More AI image models you can run on Vidney.

FluxFlux 3 Klein
Live

The small, fast Flux 3: an image from a prompt, or one change across up to ten references.

3 credits per generation
MidjourneyMidjourney V7
Live

Generate AI image with Midjourney V7: text to image and image to image, all from one Vidney workspace.

6 credits per generation
GeminiNano Banana
Live

Generate AI image with Nano Banana: text to image and image to image, all from one Vidney workspace.

6 credits per generation
DoubaoSeedream 4.0
Live

Generate AI image with Seedream 4.0: text to image and image to image, all from one Vidney workspace.

6–9 credits per generation
GrokGrok Imagine Image 2.0
Live

xAI's image model plans the layout like a designer, so the small print survives.

9–15 credits per generation
DoubaoSeedream 5.0 Lite
Live

Generate AI image with Seedream 5.0 Lite: text to image and image to image, all from one Vidney workspace.

9 credits per generation

Frequently asked questions

What is Flux Kontext?

Flux Kontext is an AI image model you can run on Vidney. It supports text to image and image to image from a single workspace.

How much does Flux Kontext cost per generation?

Flux Kontext costs 6–12 credits per generation. The exact credit cost is shown on the generate button before you run it. That is about $0.18–$0.36 per run at the Starter plan rate ($0.03 per credit).

What aspect ratios does Flux Kontext support?

Flux Kontext supports the following aspect ratios: 1:1, 4:3, 3:4, 16:9, 9:16.

Is Flux Kontext free to use?

You can start with Flux Kontext for free on Vidney using your sign-up credits, no card required to try it. After that each run costs 6–12 credits per generation, and the exact cost is always shown on the generate button before you spend a credit.

Can I use Flux Kontext images commercially?

Yes. The images you generate with Flux Kontext on Vidney are yours to use in commercial projects: ads, social posts, client work, and product content. You keep the output; Vidney only handles generation and storage.

Does Flux Kontext add a watermark?

Only on the free plan. Free-plan downloads carry a small Vidney watermark; on any paid plan, Flux Kontext images download clean, ready to publish or hand to a client. Upgrading also removes the watermark from images you already made.

What are the best Flux Kontext alternatives?

The closest Flux Kontext alternatives on Vidney are Flux 3 Klein, Nano Banana 2.1, and GPT Image 2.5. They all run in the same workspace from one credit balance, so you can run the same prompt on each and compare the results side by side.

Do I need an API key or a provider account to use Flux Kontext?

No. Vidney runs Flux Kontext for you, so there are no API keys to manage and no separate provider account to set up.

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