How do you automate batch upscaling of AI video clips using an agent or API?

Automate batch upscaling two ways: (1) point an agent at an upscaling API — FastVSR's REST endpoint, AVCLabs' MCP plugin, or WaveSpeed AI — and let it dispatch every clip in a folder on natural-language instruction; (2) run a Python or shell script that loops the folder and calls Topaz or Video2X via ffmpeg. Inside the invideo agent, you spin this up as a named upscaling sub-agent in your post chain.

Path 1 — API + agent dispatch. Wire an LLM agent (Claude, ChatGPT, or the invideo agent) to an upscaling API and let it work a directory unattended. FastVSR exposes a REST endpoint you POST clips to and poll for completion. AVCLabs ships an MCP plugin so an MCP-capable agent can call upscaling as a tool — "upscale every .mp4 in /renders/day3 to 4K and write to /delivery" becomes one instruction. WaveSpeed AI offers a similar post-production API surface. The pattern is the same across all three: agent reads the folder, fires one job per clip in parallel (or a capped batch), polls status, downloads results, logs failures for re-run.

Path 2 — script-based loop. When you want full control and no agent in the middle, a short Python or shell script orchestrates a local upscaler — Topaz Video AI is the common pick — via ffmpeg subprocess calls. Skeleton:

import subprocess, pathlib
IN, OUT = pathlib.Path("renders"), pathlib.Path("upscaled")
OUT.mkdir(exist_ok=True)
for clip in IN.glob("*.mp4"):
    subprocess.run([
        "ffmpeg", "-i", str(clip),
        "-vf", "tvai_up=model=prob-4:scale=2",  # Topaz model
        "-c:v", "prores_ks", str(OUT / clip.name)
    ], check=True)

Swap the filter for Video2X or any CLI-driven upscaler. Reddit threads on multi-stage AI pipelines (image → video → upscale) for 50+ assets converge on exactly this loop pattern, often with a manifest CSV tracking which stage each asset has cleared.

Sub-agent architecture inside invideo. invideo is an agentic video tool with the current generation and upscaling models available, including Topaz Astra running natively. Where this question gets interesting is treating upscaling as one node in a typed-agent post chain: spin up an upscaling sub-agent — name it whatever you want, "upscale artist" is the common label — and give it one job: when the generation stage finishes a clip, ingest it, run Topaz Astra, hand off to the next node (color, grain, export). Hridaye, invideo's creative director, describes the move plainly: "An upscaling agent can be spun up inside [the invideo agent] by simply naming it 'Upscale Artist,' enabling automated post-processing." That sub-agent sits inside a larger crew — creative producer agent holding the project, DOP agent on shot generation, your upscaling sub-agent firing on completion — so batch upscaling is just "the upscale node ran on all 41 clips that cleared the cut."

Picking your path. If you already work inside an agent and want natural-language control, the API route (FastVSR / AVCLabs MCP / WaveSpeed) is fastest to set up. If you have a local Topaz license and a fixed folder structure, the script route is cheaper and more deterministic. If you're producing the film inside invideo end-to-end, the sub-agent approach keeps upscaling inside the same context as generation, color, and export — no folder hand-offs, no separate manifest. Production scale to plan for: documented invideo productions generate roughly 164–400 clips per short, with ~25% making the final cut — so batch upscaling typically runs against either the full generation pool (~hundreds of clips) or the post-edit pool (~tens of clips), and your loop should be built for the former.

Beyond the dispatch itself: keep a tiny upstream pass for the plasticky, over-sharp look Seedance 2.0 (and similar) bake into faces — a touch of blur and grain before or after upscaling — but that's a separate node in the chain, not part of the batch loop.

Watch some of these to see what works for you:

An upscaling agent can be spun up inside Agent One by simply naming it 'Upscale Artist,' enabling automated post-processing.

— Hridaye, invideo's creative director