LTX-2.5 DFR: Image to Video

This workflow turns a single image into a short, cinematic video using LTX‑2.5’s DFR (Diffusion Fidelity Rendering) path. The subgraph “Image to Video (LTX‑2.5 DFR)” runs a half‑resolution generation to establish motion and generate detailing keyframes, then applies a spatial ×2 detailing pass with a pixel‑spatial IC‑LoRA to recover fine texture. For projects that need extra smoothness, you can optionally add a temporal ×2 pass to densify motion between frames. The result is a cohesive clip that preserves your image’s look while adding natural camera movement and subject animation, with synchronized audio when provided by the subgraph.

Technically, the pipeline is compact and easy to drive in ComfyUI: LoadImage brings in your source frame, ResolutionSelector sets aspect and target size, and the DFR subgraph node (97d5d35b-bb0d-4212-b2f2-97ab13cbfb1f) encapsulates the LTX‑2 family model and its IC‑LoRA detailing passes. PreviewImage helps you quickly inspect a representative frame before final encoding, and SaveVideo writes the finished clip (including audio if the subgraph outputs it). MarkdownNote nodes in the template annotate key choices and link to ComfyUI’s Subgraph feature, so you can open the subgraph and tweak options without getting lost.

API

Usa este flujo de trabajo desde código

Cada flujo de trabajo de Comfy es un grafo JSON. El siguiente payload es este flujo de trabajo, exactamente como lo ejecuta ComfyUI: descárgalo desde la URL, guárdalo en control de versiones o cárgalo en ComfyUI y ejecútalo nodo por nodo.

999b68cf27cb.json
Obteniendo JSON del flujo de trabajo…

Ejecuta desde TypeScript o Python con el Comfy SDK. El mismo código funciona en Comfy Cloud o en un ComfyUI propio: solo cambia la URL base.

// 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");

El SDK utiliza un flujo de trabajo en formato API: abre este flujo de trabajo en ComfyUI y usa Archivo → Exportar flujo de trabajo (API).

El acceso a la API de Comfy Cloud requiere un plan con clave API.

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