LTX 2.3 - EditAnything is an experimental ComfyUI workflow that performs text-driven edits on existing video clips. Using an in‑context (IC) LoRA, it attempts to add, remove, replace, or restyle objects directly inside each frame without manual masking. The pipeline is simple: VHS_LoadVideo decodes your source clip into frames, a custom IC‑LoRA edit node (UUID 2e37ecc9-770a-4ac2-972c-e953901f49d3) applies the text instruction to those frames, and VHS_VideoCombine stitches the edited frames back into a video. A MarkdownNote node in the canvas provides author guidance and caveats.
Technically, the IC LoRA conditions the diffusion/edit process with your prompt so the model can infer where and how to apply changes across frames. Because the edit is prompt-only and experimental, temporal consistency will vary; shorter clips, clearer prompts, and conservative edit strength typically preserve motion and identity better. VHS_LoadVideo and VHS_VideoCombine (from VideoHelperSuite) handle robust frame I/O and encoding, so you can iterate quickly by tweaking the edit node’s prompt and strength, then re-queuing to compare results side by side.
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
