Do I need a reference image, or can it work from text only?

The workflow supports both. For consistent identity and pose, load a reference image via LoadImage. If you prefer pure text, provide a clear description to the GeminiNode; the optimized prompt will drive Seedance 2.0 without a reference, though subject fidelity may vary.

How do I get a cleaner orbit and fewer artifacts around the subject?

Use a high‑resolution image with the subject centered, good contrast, and some background margin. Avoid heavy motion blur and occlusions. In ByteDance2ReferenceNode, increase reference guidance/strength if available to better anchor identity, and try a different seed for stability. Prompts that explicitly mention orbit direction, focal length (e.g., wide or telephoto), and suspended particles can improve coherence.

Why doesn’t it do a full 360° around my subject?

From a single image, the model infers unseen views; it can simulate an orbit but cannot reveal fully occluded sides reliably. You can suggest a partial arc in the prompt (e.g., “quarter‑orbit left to right”) and keep backgrounds simple to reduce hallucinations.

Do I need API keys or special hardware?

GeminiNode and ByteDance2ReferenceNode typically call external services and require valid API keys or configuration in their node settings. Check each node’s docs or your ComfyUI custom node configuration. Because the heavy lifting may be remote, local hardware demands are modest; generation time depends on the service and settings.

VFX - 子彈時間特效 - ComfyUI 工作流

這個 ComfyUI 工作流程可從參考圖片或純文字場景描述，生成逼真的子彈時間序列。流程分兩階段：首先，Generate Bullet Time Seedance 2.0 Prompt 群組利用 GeminiNode 合成一組聚焦於動作凝結、慢動作能量與主體環繞鏡頭的提示詞。若載入靜態圖（LoadImage），該視覺內容會影響提示詞；否則僅依據文字描述。圖中有 MarkdownNote 節點說明節點需求與描述方式。

接著，Generate Video 群組將最佳化提示詞（及參考圖片，如有）傳入 ByteDance2ReferenceNode，驅動 Seedance 2.0 產生影片。該節點為核心影片生成器：接受提示詞與可選參考，錨定主體身份與姿勢，同時模擬環繞鏡頭與凝結時刻。可用 PreviewAny 預覽結果，SaveVideo 匯出最終影片。產出為短迴圈子彈時間片段，可透過調整提示詞、種子或參考強度快速反覆優化。

API

從程式碼使用此工作流

每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。

7a6ab8b6e694.json

正在取得工作流 JSON…

使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base URL。

// 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");

SDK 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用檔案 → 匯出工作流（API）。

Comfy Cloud API 存取需有 API 金鑰的方案。

SDK 文件取得 API 金鑰

常見問題