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AI Video-to-Video Style Transfer

Feed an existing clip as a reference and regenerate it in a new visual style.

How do I restyle a video using AI?

In Renoise Canvas, attach your source clip as a video reference and prompt the new style. Seedance 2.0 accepts up to 3 video references and re-generates the footage guided by your composition and motion; Kling 3.0 Omni accepts 1 video reference. The output is a new generative render influenced by the source — motion and framing are guided by the input, but exact pixel alignment is not guaranteed.

Want to control camera moves in a new video rather than restyle an existing clip? See the AI motion control guide

What AI video-to-video looks like

Generative restyle guided by a video reference — not a filter, a new render.

Video reference input

Attach your source clip and the model uses it to guide composition and motion.

Style via prompt

Describe the new look — cinematic, anime, neon noir, watercolor — in the prompt.

Generative, not frame-mapped

The output is a new generation. Motion is guided, not pixel-perfectly transferred.

Multi-reference blend

Seedance 2.0 supports up to 3 video references to blend composition across clips.

AI video restyle in 3 steps

From your source clip to a new visual style — guided by the model, not a post filter.

  1. Uploading a source video clip into the Renoise Canvas for video-to-video restyle
    Step 1

    Upload the source video

    Add your clip to the Canvas as a video reference via the media library. The model will use it to guide the motion and composition of the output.

  2. Selecting Seedance 2.0 from the model menu in Renoise Canvas for video restyle
    Step 2

    Select Seedance 2.0 and set the style prompt

    Switch to Seedance 2.0 in the model menu. Describe the visual style you want — lighting, palette, aesthetic — in the prompt field.

  3. Seedance 2.0 model selector and generation output in Renoise Canvas
    Step 3

    Generate and compare

    Run the generation and compare the result against the source. Adjust the style prompt or reference weight and re-generate to dial in the look.

Video restyle examples

Clips regenerated in a new style using a video reference — composition guided by the source, look driven by the prompt.

Before and after: live action city walk clip regenerated in Studio Ghibli anime style

Live action to anime

A city walk clip regenerated in a Studio Ghibli-influenced anime style.

Before and after: daytime street footage re-rendered as neon-lit high-contrast noir scene

Neon noir restyle

Daytime street footage re-rendered as a neon-lit, high-contrast noir scene.

Before and after: handheld video clip restyled with cinematic lens and color grade

Cinematic grade

A handheld clip given a cinematic lens and color grade through generative re-render.

Before and after: video footage restyled with oil-painting impressionist aesthetic

Painterly texture

Footage restyled with an oil-painting / impressionist aesthetic.

Seedance 2.0 vs Kling 3.0 Omni for video restyle

Both accept video references. Seedance 2.0 supports up to 3 references for a blended restyle; Kling 3.0 Omni supports 1 reference with stronger multi-subject consistency.

For video restyleSeedance 2.0RecommendedKling 3.0 Omni
Video referencesUp to 31
Best forBlended multi-clip restyleSingle-reference restyle with subject consistency
Audio-native output
Native lipsync
Clip length4–15s3–15s (≤10s with ref video)
Resolution720p / 1080p720p / 1080p

Generative restyle vs frame-perfect style transfer

It is worth being direct about what AI video-to-video does and does not do in Renoise, because the two are often confused.

A frame-perfect style transfer maps a visual style onto every pixel of every frame of the source clip — the content is preserved exactly, the look changes on top of it. Think of it as a filter that respects frame boundaries. Dedicated style-transfer tools and some ComfyUI pipelines aim for this.

Generative restyle is different. You supply the source clip as a reference and the model generates a new video guided by the composition, motion, and subjects of the input. The motion and framing follow the source, but the model re-renders the content in the new style — it is not tracing pixels. That means the output can drift from the exact input: an actor's expression might shift slightly, a background object might change, timing might not be frame-for-frame identical. For aesthetic restyling — turning a live clip into anime, adding a neon noir grade, painting with a cinematic aesthetic — generative restyle produces strong results and is faster to iterate than a full frame-by-frame pipeline. For content that needs exact pixel-level preservation, it is not the right approach.

Seedance 2.0 supports up to 3 video references, which lets you blend composition from multiple clips into the restyle. Kling 3.0 Omni supports 1 video reference with stronger multi-subject consistency across the output. Both run in the same Canvas, so you can try both on the same source and compare.

Renoise capabilities used

Video-to-video restyle draws on multi-reference video models in one canvas.

Seedance 2.0

Up to 3 video references for a blended generative restyle, audio-native output.

Kling 3.0 Omni

Video reference restyle with strong multi-subject consistency across the clip.

Canvas

Attach video references, adjust prompts, and compare model outputs in one workspace.

Prompt-driven style

Describe the target aesthetic in natural language — lighting, palette, art direction.

Dedicated style-transfer tool vs Renoise

Dedicated frame-transfer tool

  • Frame-perfect pixel mapping — preserves exact content
  • Single style-transfer function only
  • No way to extend, add audio, or restyle with different looks
  • Separate upload / download workflow
  • Limited control over motion output

Renoise

  • Generative restyle guided by reference — style-driven, not pixel-mapped
  • Style-restyle plus extend, lipsync, and multi-model in one canvas
  • Blend up to 3 video references (Seedance 2.0)
  • Iterate prompt and reference in the same workspace
  • Watermark-free export on paid plans

Choose your plan

One plan unlocks Seedance 2.0, Kling 3.0 Omni, and multi-reference video generation.

Starter
$20/mo
Upgrade Plan
1,200©/mo
$1.67 / 100©Generate up to 3,000 images or 150 videos every month.
Watermark-free exports
20 FacePass Assets
Image Models
Video Models
Standard
$60/mo
Upgrade Plan
3,600©/mo
$1.67 / 100©Generate up to 9,000 images or 450 videos every month.
Watermark-free exports
50 FacePass Assets
Latest Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
Latest Video Models
Seedance 2.0 HappyHorse 1.0
◈ Best Value
Advance
$200/mo
Upgrade Plan
14,000©/mo
$1.43 / 100©Generate up to 35,000 images or 1,750 videos every month.
Watermark-free exports
Unlimited FacePass Assets
Latest SOTA Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
Latest SOTA Video Models
Seedance 2.0 HappyHorse 1.0

Restyle your video with AI

Attach a clip as a reference, prompt the new aesthetic, and generate.

Frequently asked questions

1.Is AI video-to-video the same as style transfer?

Not exactly. Frame-perfect style transfer maps a visual style pixel-by-pixel onto an existing clip. AI video-to-video in Renoise is generative restyle: you supply the source as a reference and the model generates new footage guided by its composition and motion. The look changes from the style prompt; the content may drift slightly compared to frame-perfect mapping.

2.Which model handles video-to-video restyle best?

Seedance 2.0 for blended restyling — it accepts up to 3 video references so you can combine composition from multiple clips. Kling 3.0 Omni for single-clip restyling where multi-subject consistency matters. Both are in the same Canvas and can be tested on the same source.

3.Will the motion exactly match the original video?

Motion and composition are guided by the reference, but exact frame-for-frame alignment is not guaranteed. Generative re-render means the model interprets the motion and rebuilds the clip in the new style — it is not a post-processing filter. For most aesthetic restyling this produces good results; for content requiring precise pixel preservation, a dedicated matting pipeline is more appropriate.

4.How is video restyle different from AI motion control?

Motion control is about directing movement in a new video — camera pan, zoom, orbit — generated from an image or text prompt. Video restyle takes an existing clip as input and changes its visual look. They can be combined: restyle a clip and add camera motion in a follow-up generation.

5.Can I restyle a video in anime style?

Yes — prompt the anime aesthetic you want (Studio Ghibli, shonen action, flat manga style) and attach the source clip as a reference. Seedance 2.0 or Kling 3.0 Omni will regenerate the clip guided by the source motion. There is a dedicated anime video guide if anime is the primary use case.

6.What video length can I restyle?

Seedance 2.0 outputs 4–15 second clips; Kling 3.0 Omni outputs 3–15 seconds (up to 10s when a reference video is attached). For longer source material, break it into segments and stitch the outputs on the Canvas Timeline.

By Keira, RenoiseLast reviewed Models verified: Seedance 2.0, Kling 3.0 Omni