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AI image denoiser

Generate a cleaner-looking interpretation of a noisy image. Describe the grain or speckles you want to reduce, then compare the result with the source. Reference-based AI generation may redraw fine details.

Create a cleaner interpretation of your photo

Choose a reference, select a cleanup direction and edit the brief. This uses reference-based image generation: it may redraw details rather than preserve the original pixels. Preset examples use the Low-light portrait sample.

Review noise and detail together

A smoother-looking image is useful only if its important details still fit your brief. Page images are Image Gen concept illustrations, not measured denoising comparisons or tested outputs from this Astorie form.

Noisy reference concept

Identify the distracting texture

  • Coarse grain competes with the teapot silhouette.
  • Colored speckles appear in the background shadows.
  • Keep the original available to check shape and light.
Noisy teapot still-life concept illustrating coarse grain and shadow speckles

Cleaner interpretation concept

Look beyond the smoother surface

  • The brief asks for calmer shadows and surface texture.
  • Compare the spout, handle, rim and reflections.
  • Reject changed details that do not fit the intended use.
Cleaner teapot interpretation concept with calmer shadows and retained surface texture

How to use this AI image denoiser

Start with one source and a focused request for the noise appearance you want to change.

  1. 1

    Choose your source

    Select Low-light portrait or upload an image you have permission to use. Keep the original for comparison and identify the grain or speckles that distract from the subject.

    Selecting a source photograph and keeping the original available
  2. 2

    Write a focused cleanup brief

    Choose Balanced cleanup, Keep texture or Shadow color cleanup. Edit Describe the cleanup to name the textures, shapes and lighting you want to carry through.

    Choosing the fur, surface and shadow details to protect in a cleanup brief
  3. 3

    Generate and compare

    Select Generate cleaner version and sign in if prompted. Compare the new image with the source for subject features, material texture, edges and any lettering before using it.

    Reviewing basket texture and changed details across two concept prints

Make the cleanup request specific

These are prompt directions to assess in the result, rather than separate technical denoising controls.

Name the distracting grain

Describe coarse particles, mottled shadows or isolated speckles. A specific brief is easier to judge than a broad request to improve everything.

Try a cleanup brief

Keep useful texture in view

Identify skin, fur, fabric or metal brushing that matters. Check those areas when a smoother interpretation removes too much texture.

Try a cleanup brief

Preserve the lighting mood as a goal

Ask for the existing warmth and shadow depth. A cleaner-looking result does not need to become a brighter or flatter scene.

Try a cleanup brief

Inspect subject features

Compare facial shape, product geometry and fine edges. Generation can redraw details even when the brief asks to keep them.

Try a cleanup brief

Review small text separately

Check labels and lettering against the source. Do not accept plausible-looking replacement characters as a faithful cleanup.

Try a cleanup brief

Change one part of the brief

Refine the noise or texture request one step at a time. Use the original as the comparison point for each candidate.

Try a cleanup brief

Noise-cleanup prompt ideas

Adapt the subject, important textures and lighting to your reference image.

Night-scene cleanup direction with preserved lighting mood
Night sceneGenerate a cleaner interpretation of this night scene. Request less distracting shadow speckling while aiming to keep the streetlamp glow, wet reflections and dark sky. Avoid turning the scene into daylight.
Pet-photo cleanup direction emphasizing fur and whisker review
Pet photographGenerate a texture-conscious interpretation of this pet photo. Request lighter coarse grain while aiming to retain the pose, fur pattern and whiskers. Inspect those features against the original.
Product-image cleanup direction with metal texture and reflections
Product surfaceGenerate a cleaner interpretation of this product image. Request calmer flat areas while aiming to retain the silhouette, brushed-metal texture and reflections. Check geometry and any label text separately.

Where a cleaner reinterpretation can help

Use this workflow when you can inspect and accept changed details in a new image.

Social visual exploration

Explore a calmer-looking version of a low-light still life for a social layout. Review the crop, mood and object shapes before building the post around it.

Explore a cleaner version
Evening cafe visual concept for a social post
Social visual exploration

Editorial image concepts

Request less distracting texture in a plant or interior photograph. Check leaf edges, materials and any important scene detail before selecting a candidate.

Explore a cleaner version
Editorial plant-photo concept with leaf and surface detail
Editorial image concepts

Creative texture refinement

Explore a cleaner interpretation of an illustration or concept image. Retain intentional painted strokes or film-like grain when they support the style.

Explore a cleaner version
Creative image concept retaining an intentional painted texture
Creative texture refinement

Input, output and cleanup limits

Match the workflow to the kind of result you need.

InputOne selected sample or uploaded reference image. An image is required.
MethodReference-based image generation guided by a preset and editable prompt.
OutputA newly generated still image saved to a personal canvas project.
Detail changesFine texture, faces, geometry and lettering may be redrawn. Original pixels are not preserved as a guarantee.
Noise, blur and sizeVisible grain, soft focus and low resolution are different issues. This form offers cleanup prompts, not a technical noise-strength control or a specified upscale operation.
When to use another workflowUse a dedicated editor when original-pixel processing is required. Keep source files for records and detail-sensitive work.
CreditsCheck the credit requirement displayed before generating.
Free planA free plan is listed with no credit card required. Check your current account allowance.Verified 2026-10-15
Commercial usePaid-plan outputs have commercial rights subject to provider terms and input rights. Free-plan outputs are for personal, non-commercial evaluation; upgrading applies to new generations.Verified 2026-10-15
Upload data useDefault terms permit uploads, prompts and outputs to be used for training and improvement. Provider policies apply. Enterprise training opt-out requires a written agreement; derived information may persist after source deletion.Verified 2026-10-15

Image models for further canvas exploration

Explore these catalog links for separate reference-based canvas work. Check each model’s actual inputs and editing controls before choosing it.

FLUX.2

Provider
Black Forest Labs
Type
image

Catalog checked 2026-10-15. These cards are not a denoising ranking and do not identify the model behind this form.

Browse image models

AI image denoiser FAQ

What does this AI image denoiser do?

It generates a new interpretation from a reference and a cleanup brief. You can request less visible grain or speckling, then review the result against the original.

Will it preserve every original pixel and detail?

No. This is reference-based generation, so texture, geometry, faces and lettering may change. Use a dedicated editor when original-pixel processing is required.

Which cleanup direction should I start with?

Start with Balanced cleanup for a broad brief. Keep texture emphasizes natural surface detail, while Shadow color cleanup asks for less distracting colored speckling in dark areas. Each remains a prompt request to review.

Is denoising the same as fixing blur or upscaling?

No. Grain, soft focus and low resolution describe different problems. This form requests a cleaner-looking interpretation; the related AI Image Upscaler links to a separate enlargement workflow.

Can I keep some grain in the image?

Yes, you can request subtle fine grain and intentional texture in the brief. Compare the result with the original because generation may still change other details.

How can I avoid a plastic-looking result?

Ask for plausible skin, hair, fur and material texture, and avoid a blanket request for perfectly smooth surfaces. Inspect important areas and reject candidates with unwanted smoothing or invented detail.

Can I use the result commercially?

Paid-plan generations have commercial rights subject to provider terms and your rights to the source. Free-plan outputs are for personal, non-commercial evaluation. Review the current policy before paid work.

Try a focused cleanup brief

Choose one reference, name the noise appearance you want to change and compare the new interpretation with your original.

Generate a cleaner versionRead the image workflow