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Video Upscaling & Restoration · artokun | DecimalAI

design mediaby artokun

Video Upscaling & Restoration

artokun/video-upscale

Source artokun/comfyui-mcp ↗License MIT

Upscale and restore video in ComfyUI — both the quick local path (per-frame ESRGAN like 4x_foolhardy_Remacri via ImageUpscaleWithModel + 4x→2x supersample, with its temporal-flicker tradeoff) and temporal-aware super-resolution (SeedVR2, the newer FlashVSR) with the downscale-first restore pipeline; RIFE/FILM frame interpolation via the BUILT-IN ComfyUI 0.26 FrameInterpolate (rife_v4.26 in models/frame_interpolation/) or the ComfyUI-Frame-Interpolation pack; 2x/4x scaling, VRAM tiers, VHS encode

SkillScore95Maintained

Automatic

AI Engineer pack

Last verified 9/2/2026

What it changes

Passed 21 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill95%

Checks it passed that the model alone missed

Specifies entering 1080 as the short edge pixel height.
States that FlashVSR requires a minimum of 21 input frames.
Recommends setting SeedVR2 batch_size to follow the 4n+1 formula.

and 13 more in the full report

11 fixed10 passed either way1 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +175%
Agent turns: 0%
Response time: -28%

Model gemini-3.6-flashMeasured 9/2/2026v421 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/artokun-video-upscale/SKILL.md https://app.decimal.ai/s/artokun-video-upscale/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add artokun-video-upscale, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/artokun-video-upscale/ and pins it in .decimal/skills.lock

decimalai skills add artokun-video-upscale

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/artokun-video-upscale/SKILL.md https://app.decimal.ai/s/artokun-video-upscale/SKILL.md

Raw file: /s/artokun-video-upscale/SKILL.md ↗ · machine-readable summary at /s/artokun-video-upscale.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

In the FlashVSR Advanced node settings in ComfyUI, what performance advantage does enabling SageAttention provide?

What was checked, without and with the skill
Checked	Without skill	With skill
States that SageAttention increases processing speed by 20 to 30 percent.	Missed	Passed

case-20 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md327 linessingle file

Video Upscaling & Restoration

Overview

"Upscaling video" in ComfyUI splits into three jobs, and the quality win comes from doing them in the right order:

Spatial restore + upscale. A temporal-aware model that increases resolution AND cleans compression blocks, blur, and AI-gen mush while keeping frames consistent over time. This is the part a plain image upscaler (ESRGAN, UltimateSDUpscale per-frame) does badly. Per-frame upscalers flicker because each frame is sharpened independently. Use a video model.
Frame interpolation (VFI). Synthesize in-between frames to raise fps (e.g. 24→48/60) for smooth motion. Do this after the spatial pass.
Encode. Mux frames (plus original audio) back to an MP4.

The two leading temporal restorers in 2026 are SeedVR2 (diffusion-transformer restorer, the proven workhorse) and FlashVSR (newer one-step streaming VSR, faster). Frame interpolation is RIFE (or FILM) via ComfyUI-Frame-Interpolation.

Verification note: every node/pack/model name below was confirmed against the GitHub repos and the ComfyUI registry / Manager as of June 2026. Where a name is approximate or version-dependent it is flagged. Do not substitute a node you can't confirm is installed. Check with install_custom_node (action: "list") / create_workflow (action:"node_info").

⭐ Recommended current pipeline (2026)

Downscale → SeedVR2 (temporal restore+upscale) → RIFE (interpolate) → VHS encode. This modernizes the user's classic recipe (below) with the current SeedVR2 node pack and is the path to ship by default. FlashVSR is the faster alternative for the restore stage (see "FlashVSR" section). Swap it in when speed matters more than absolute fidelity.

Node-graph sketch

LoadVideo  ─► GetVideoComponents ─► (IMAGE frames, audio, fps)

Track record

Benchmark

21 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 5
Times used: 75

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

artokun / comfyui-mcp

plugin/skills/video-upscale/SKILL.md

View on GitHub ↗

License MITImported 9/2/2026Version v4

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Video Upscaling & Restoration

Overview

⭐ Recommended current pipeline (2026)

Node-graph sketch

Track record

Benchmark

Adoption

SkillSafety

Source

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