Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/sandyup/comfyui-mcp/video-upscalenpx skills add sandyup/comfyui-mcp --skill video-upscalegit clone --depth 1 https://github.com/sandyup/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sandyup/comfyui-mcp/video-upscale)<a href="https://agentmods.dev/skills/sandyup/comfyui-mcp/video-upscale"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/video-upscale.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00167 | $0.05047 |
| Opus 5 | $0.00084 | $0.02524 |
| Sonnet 5 | $0.00033 | $0.01009 |
| Haiku 4.5 | $0.00017 | $0.00505 |
Grade A, and why
video-upscale scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to video-upscale — 218 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 (+ 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
list_installed_nodes/get_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)
│
▼
ImageScaleBy / ImageScale ◄── DOWNSCALE first (e.g. 0.5×) — clean,
│ small input for the restorer
▼
SeedVR2 Video Upscaler ◄── DiT model + VAE + (block swap) + (tiling)
├─ "SeedVR2 (Down)Load DiT Model"
├─ "SeedVR2 (Down)Load VAE Model"
└─ ["SeedVR2 Torch Compile Settings"] (optional speedup)
│ (restored, high-res frames)
▼
RIFE VFI (4.0 - 4.9) ◄── multiplier 2 (e.g. 24→48 fps)
│
▼
CreateVideo (fps = source × multiplier) ─► SaveVideo
— or — VHS_VideoCombine (carries audio passthrough)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 330 lines · 167 tokens per session scan A 507499f5b85d
video-upscale is a skill published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 167 tokens to every session and 5,047 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to video-upscale, differing in 218 lines, and is treated as a copy.
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