Editing
AI Video Upscaler on Martini
Generate at draft resolution, upscale on the same canvas before export. The upscale tool reads the upstream video node directly — no download, no re-upload, no transcode round-trip — and chains the polished output straight into NLE export at editor-friendly codecs and frame rates.
What this feature solves
AI video models often render at draft resolution to keep generation costs and turnaround manageable. The output is fine for review and creative iteration, but the moment a producer asks for a 4K master for streaming delivery or a billboard placement, the team has to either regenerate at higher resolution (expensive, slow) or upscale through a separate tool. The separate-tool route means downloading the draft, uploading to an upscaler, downloading the result, transcoding the codec, and reimporting to the editor — five handoffs that each lose time and degrade fidelity.
The deeper break is the chain. A real production pipeline iterates a shot before locking it. Generate, review, regenerate, review, lock — and only then upscale. If the upscale step lives in another tool, you cannot iterate against the upscaled version; you commit to a draft, ship it through the upscaler, and discover the upscale artifacts late. By then the producer has signed off and the schedule has no room to revise. The upscale should be inside the iteration loop, not after it.
Codec and frame rate compatibility is the third break. Most generic upscalers spit out an MP4 at whatever frame rate they default to, with whatever codec the platform compresses to. Editors then transcode through HandBrake or MediaEncoder before the upscaled clip is usable in Premiere or DaVinci. Hours per project gone, and the upscaled clip degrades on every transcode pass.
Why Martini is different
The upscale tool sits as a node on the same canvas as your video generation. Wire the video node into the upscale tool, set target resolution, and run. There is no download or upload — the canvas reads the upstream output directly and the chain preserves lineage. If you swap the upstream video for a fresh take, the upscaled output refreshes against the new source automatically. That dependency-aware iteration is the core canvas advantage, applied to upscale specifically.
Multi-engine generation pairs naturally with upscale. Generate hero shots on Sora 2, Seedance 2, Kling 3, or Runway Gen-4 at draft resolution, fan-out across engines, pick the winning take, and chain it into the upscale tool only on the take you ship. You waste no upscale credits on rejected branches, and the polished master comes from the same canvas where the creative decisions happened. Tab-based workflows force you to upscale every candidate to evaluate them at full quality — Martini lets you commit first, polish second.
Export hands off cleanly. The upscale node feeds the sequence builder, which packages the polished cuts at clean frame rates (24, 25, 30, 60) and codecs (H.264, ProRes-friendly). NLE export drops the bundle into Premiere Pro, DaVinci Resolve, or Final Cut Pro without a transcode round-trip. The chain is generate → fan-out → choose → upscale → sequence → NLE — one canvas, one clean output, zero handoff loss.
Common use cases
Polish hero shots before the editor receives them
Wire selected video takes into the upscale tool so the editor opens 4K masters in Premiere Pro rather than draft drafts that need post-upscale.
Upscale only the takes that win
Fan out at draft resolution across Sora, Seedance, Kling, and Runway, pick the winner, and run the upscale node only on the chosen take.
Prepare AI video for billboard or streaming delivery
Take a draft generation up to delivery resolution before NLE export so the master file lands at the spec the platform requires.
Refresh the upscale automatically when the source changes
Swap the upstream video node for a new take and the chained upscale re-renders against the new source — no manual re-upload.
Combine upscale with frame extraction for hero stills
Upscale the video, then chain into frame extraction to pull a high-resolution still from the polished sequence for a print or hero asset.
Save the upscale chain as part of a campaign template
Once the upscale → sequence → NLE export chain is proven, save the entire canvas as a template for the next campaign.
Recommended model stack
seedance-2
videoStrong source quality at draft resolution, ideal for downstream upscale to delivery spec.
sora-2
videoLong-take coherence at draft resolution that holds detail when upscaled.
kling-3
videoCinematic camera motion that retains crispness through the upscale chain.
runway-gen4
videoEditor-friendly draft outputs that pair well with upscale for delivery masters.
How the workflow works in Martini
- 1
1. Generate the video at the model default resolution
Run Sora 2, Seedance 2, Kling 3, or Runway Gen-4 at the default draft resolution. The upscale step happens later, only on the take you ship.
- 2
2. Review and pick the winning take
Compare takes across engines on the canvas. Lock the winner before spending upscale credits — the upscale should run on a final, not on a candidate.
- 3
3. Wire the chosen video into the upscale tool node
Drop the video-upscale tool node onto the canvas. Connect it to the chosen video node. Set target resolution and ratio.
- 4
4. Run the upscale and review against the source
Compare the upscaled output to the draft on the canvas. Look for hair, fabric, and edge fidelity — the places where upscale artifacts typically surface.
- 5
5. Chain the polished output into the sequence builder
Wire the upscaled clip into the sequence builder along with the rest of the cut. The sequence carries clean frame rate and codec for the final master.
- 6
6. Export to your NLE for finishing
NLE export bundles the polished sequence at editor-friendly specs. Premiere Pro, DaVinci Resolve, and Final Cut Pro open it natively — no transcode required.
Example workflow
An ad agency is producing a fifteen-second product spot for streaming delivery at 4K. They build the cut on the canvas: an establishing shot from Sora 2, two product macros from Seedance 2, a talent close-up from Kling 3. All four shots run at default draft resolution while the team iterates the prompts and picks winners. Once the cut is locked, they wire the four chosen video nodes into four video-upscale tool nodes, target 4K, and run. The upscaled outputs land back on the canvas. The team reviews the polished masters against the drafts, confirms no significant artifact in talent skin or product packaging, then sequences the four clips and NLE exports to ProRes 4K 24p. The editor opens the bin and starts cutting. Total upscale credit spend: four shots, not the dozen draft iterations they ran during creative.
Tips and common mistakes
Tips
- Iterate at draft resolution, then upscale only the takes you ship. The upscale step is for the master, not for evaluation.
- Watch hair, fabric, and edge artifacts in the upscaled output — that is where most artifact issues surface first.
- For talent close-ups, run the upscale and review against the source before locking. Skin texture is sensitive to upscale.
- Pair the upscale chain with frame extraction if you need a print-ready still from the same sequence.
- Save the upscale → sequence → NLE export chain as a campaign template for repeatable delivery.
Common mistakes
- Running upscale on every candidate take. The upscale step is post-decision; spend credits only on the master.
- Confusing the upscale tool with the source model. The video model generates; the upscale tool polishes — both nodes belong on the canvas.
- Expecting upscale to fix poor source motion or composition. Upscale boosts resolution but cannot rewrite a bad take.
- Skipping the artifact review pass. Upscale can introduce subtle edge or skin issues — review before committing to the cut.
- Bypassing NLE export and downloading raw upscaled MP4s. The export bundles editor-friendly codec and frame rate; raw MP4 forces a transcode.
Related how-to guides
Related models and tools
Tool
AI Video Upscaling
Upscale generated video outputs on Martini's canvas.
Tool
AI Video Frame Extraction
Extract frames from video for reference and image-to-video workflows.
Provider
ByteDance
ByteDance's Seedance video and Seedream image model families on Martini.
Provider
Runway
Runway's Gen4, Aleph, and image model workflows on Martini.
Provider
Kling
Kling 3, O3, and Avatar video model workflows on Martini.
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Related docs
Related reading
Comparisons
Frequently asked questions
Does Martini generate video at 4K natively?
No. Martini generates at the model-default draft resolution, then runs the dedicated video-upscale tool node to bring the chosen take up to delivery resolution. That separation lets you iterate cheaply at draft and only spend upscale credits on the master.
Which model is best for upscale?
The upscale tool itself is a routed tool node — workspace defaults pick the underlying engine. The recommendedModels list here are the source video models whose draft output upscales well; the upscale step is the tool, not a separate model selection.
Can the upscale fix artifacts from the original generation?
No. Upscale boosts resolution but cannot repair compositional or motion errors in the source. If the source has a flaw, regenerate the source — do not rely on upscale to compensate.
Will the upscaled output drop into my NLE cleanly?
Yes. NLE export packages the upscaled sequence at clean frame rates (24, 25, 30, 60) and codecs (H.264 and ProRes-friendly). Premiere Pro, DaVinci Resolve, and Final Cut Pro open it natively without transcode.
How does this differ from a generic upscaler tool?
A generic upscaler is a separate tab — download from your video tool, upload to the upscaler, download again, transcode for the editor. Martini puts the upscale on the same canvas as the generation, with lineage and chained NLE export, so iteration loops stay tight.
How much does a video upscale cost?
Each upscale run deducts credits proportional to the clip duration and target resolution. Iterating at draft resolution and only upscaling final takes is the cost-efficient pattern; do not run upscale on candidates.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.