The Equirectangular HDR Skybox Generator workflow is designed to create high-dynamic-range (HDR) equirectangular images, ideal for use as skyboxes or in look development for game environments. This workflow leverages advanced AI models such as Qwen-Image and SeedVR2, alongside custom nodes like comfyui_essentials and seedvr2_videoupscaler, to produce high-quality, realistic textures. The process begins with the CLIPTextEncode node, which interprets the input prompt to guide the image generation process. The workflow then utilizes the ModelSamplingAuraFlow node to sample the image data, which is further refined by the KSampler and UNETLoader nodes. The VAELoader and VAEDecode nodes play a crucial role in encoding and decoding the image data, ensuring the final output is both high-resolution and visually accurate. Finally, the workflow includes nodes like SaveImage and StringConcatenate to manage output and file naming, ensuring seamless integration into game development pipelines.
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 "Equirectangular HDR Skybox Generator" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("templates_text_prompt_to_360hdr.app_api.json");
wf.setInput("3", "text", "your prompt here"); // CLIPTextEncode
const job = await client.run(wf);
await job.getOutputs("49")[0].toFile("output.png"); // SaveImageThe 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.
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