NetaYume Lumina 文生图工作流旨在生成高质量的二次元风格图像，能够精准理解角色细节与纹理。该工作流采用 OmniGen 模型，基于 Danbooru 数据集对 Neta Lumina 进行微调，数据集中包含丰富的动漫图像。工作流集成了多个关键节点，如用于采样的 KSampler、用于模型加载的 CheckpointLoaderSimple，以及用于将潜空间解码为图像的 VAEDecode。通过输入描述性文本提示，用户可以创作出细致且生动的二次元图像。
技术上，工作流分为三个主要步骤：加载模型、设置图像尺寸和编写提示词。CheckpointLoaderSimple 节点负责加载 OmniGen 模型，KSampler 节点负责采样以确保高质量输出，VAEDecode 节点将潜在图像数据转化为最终可视化结果，并通过 SaveImage 节点保存。该工作流特别适合希望对角色特征和场景构图有精细控制的艺术家和创作者。
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 "NetaYume Lumina 文生图" (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("image_netayume_lumina_t2i_api.json");
const job = await client.run(wf);
await job.getOutputs("9")[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.
常见问题
