Break through Runway Gen-3's resolution limits — upscale to crisp 4K with genuine AI-reconstructed detail.
Upscale Your Runway Video NowRunway Gen-3 Alpha is one of the more polished AI video generators out there, especially for cinematic-style shots and controlled camera movements. The motion coherence is solid, the style control is excellent, and the prompt adherence is surprisingly good. But there's one frustration that every Runway user hits: the resolution. Gen-3 outputs at 768p (1344×768) by default, which is an awkward resolution that doesn't match any standard display format. If you want to upscale Runway video to something usable — 1080p for social media, 4K for YouTube or professional delivery — you need AI-powered upscaling that actually adds detail.
768p sits in an uncomfortable no-man's-land. It's higher than 720p but lower than 1080p. When YouTube or Instagram processes a 768p upload, their encoders don't handle it as efficiently as standard resolutions. You'll often get more compression artifacts on a 768p upload than on a properly formatted 1080p file, even though the resolution is only slightly lower.
More importantly, 768p on a 4K display looks soft. Every pixel is being stretched by roughly 2.8× just for display, and that stretching doesn't add any detail. Edges become fuzzy, textures turn mushy, and fine details like text, faces, and fabric patterns lose their definition.
When you upscale Runway video with AI, the model generates real detail at the target resolution instead of just stretching pixels. The output looks like it was generated at the higher resolution, because in a sense, it was — by a different model focused specifically on super-resolution.
Here's something that isn't obvious at first: upscaling AI-generated video is different from upscaling camera footage. Real camera footage has sensor noise, motion blur from physical shutter speed, lens characteristics, and depth of field — all natural properties that an upscaler expects and works with.
AI-generated video has none of that. Instead, it has diffusion grain, temporal inconsistency, synthetic texture patterns, and resolution limits baked in by the generation model. A traditional upscaler trained only on camera footage won't know what to do with these characteristics. It might amplify the diffusion grain, misinterpret synthetic textures, or create bizarre artifacts in areas where the generation model left soft spots.
Our upscaling model was trained on paired datasets that include AI-generated video alongside real footage. It recognizes the specific patterns that Runway (and other generators like Sora, Kling, and Pika) produce, and it handles them correctly — smoothing diffusion grain instead of amplifying it, filling soft spots with plausible detail, and maintaining temporal consistency so the upscaled video doesn't flicker.
A standard Runway Gen-3 output at 768p contains roughly 1,032,192 pixels per frame. Upscaling to 4K (3840×2160) brings that to 8,294,400 pixels — an 8× increase. The AI model fills every one of those new pixels with detail that's consistent with the surrounding content.
Here's what changes in practical terms:
The workflow is straightforward:
We offer two tools, and for Runway clips specifically, here's how to choose:
Use the Video Upscaler when your Runway clip looks good at its native resolution and just needs more pixels. This is the most common scenario — Runway's output is generally clean, just small. SeedVSR focuses on pure resolution increase with maximum detail synthesis.
Use the Video Enhancer when your clip has visible flickering, artifacts, or quality issues beyond just resolution. The enhancer (FlashVSR) addresses temporal consistency and artifact removal alongside upscaling. It's a more aggressive processing pipeline.
Not sure which? Start with the upscaler. If the result still has flickering or artifacts, try the enhancer on the original (not the already-upscaled version — always process from the original source).
For context, here's where Runway sits in the AI video resolution landscape:
Runway's 768p is actually at the lower end resolution-wise, which means the improvement from upscaling is among the most dramatic. The jump from 768p to 4K is massive, and because Runway's base output is relatively clean, the AI has great source material to work with.
New accounts get free credits. Processing costs 3 credits per second at $0.01 per credit. A 5-second Runway clip costs $0.15 to upscale. A 10-second clip is $0.30. No watermark and no subscription — just pay per clip as needed.
Always start from the original Runway export. Don't screen-record the preview, don't download from social media after uploading, and don't re-encode in your editor before upscaling. Each compression pass destroys detail that the AI could have used to generate better high-resolution output. Give it the cleanest possible source and you'll get the cleanest possible result.
If you're stitching multiple Runway clips together, upscale each one individually before combining them in your editor. This ensures each clip gets the full attention of the AI model and avoids artifacts at cut points.
Runway offers different download quality options. Always pick the highest one. The upscaler builds on existing detail, so a better source file directly translates to a better upscaled result.
If you plan to edit, color grade, or composite Runway clips, upscale the raw output first. Editing and re-encoding before upscaling introduces compression artifacts the AI then has to work around.
Most Runway clips are clean enough for the Video Upscaler (SeedVSR). Switch to the Video Enhancer (FlashVSR) only if you notice flickering or artifacts beyond just low resolution.
If you're combining multiple Runway clips into a sequence, upscale each one separately before stitching. This avoids artifacts at edit points and gives each clip optimal processing.
Break through Runway Gen-3's resolution limits — upscale to crisp 4K with genuine AI-reconstructed detail.
Upscale Your Runway Video Now