This ComfyUI workflow restores old or low-quality footage using an LTX 2.3 Video-to-Video LoRA. It splits your video into frames with VHS_LoadVideo, enhances each frame with the custom LTX 2.3 V2V processor (class_id: 2e37ecc9-770a-4ac2-972c-e953901f49d3), then reassembles the result with VHS_VideoCombine. A MarkdownNote in the graph provides inline tips so you can adjust settings without leaving the canvas.
Technically, VHS_LoadVideo handles decoding and frame range control: use skip_first_frames to trim the head of a clip and frame_count to limit how many frames are processed. Those frames are passed to the LTX 2.3 Video-to-Video node, which applies the LoRA-driven restoration to recover texture, lines, and fine detail common in archival film and anime sources. You’ll typically balance LoRA strength and denoise to preserve motion while lifting detail. Finally, VHS_VideoCombine encodes the restored frames back into a video, where you can set the output fps and codec to match your delivery needs. The result is a repeatable, frame-accurate pipeline for bringing older footage back to life without hand-tuning every shot.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
