diff --git a/components/canvas/nodes/ImageNode.tsx b/components/canvas/nodes/ImageNode.tsx
index af553ef2f..87eda22a8 100644
--- a/components/canvas/nodes/ImageNode.tsx
+++ b/components/canvas/nodes/ImageNode.tsx
@@ -77,6 +77,19 @@ import {
   getNormalizedMinCropSize,
   updateCropRectWithPointer,
 } from "@/components/canvas/nodes/image-node/image-node-crop";
+import {
+  getImageNodeTitle,
+  guessNearestAspectRatio,
+  inferModelFormat,
+  inferTripoImageType,
+  normalizeImageIdentityUrl,
+  normalizeImageTitle,
+  normalizeMediaUrl,
+  resolveRegeneratePromptSeed,
+  resolveOriginalImageUrl,
+  sanitizeFileName,
+  triggerBrowserDownload,
+} from "@/components/canvas/nodes/image-node/image-node-utils";
 import {
   PromptRegenerateDialog,
   ThreeDGenerationDialog,
@@ -118,7 +131,6 @@ import {
 } from "@/lib/detail-ui-subject-analysis";
 import type { DetailUiScreenOverlaySnapshot } from "@/lib/detail-ui-surface-adapter";
 import { buildImageProxyUrl } from "@/lib/image-delivery";
-import { inferOriginalImageUrl } from "@/lib/image-url";
 import {
   DEFAULT_PUBLIC_THREED_MODEL_ALIAS_CONFIG,
   getDefaultThreeDModelAliasId,
@@ -853,144 +865,6 @@ async function renderAndUploadCroppedImage(
   }
 }
 
-function inferModelFormat(modelUrl?: string | null) {
-  const value = String(modelUrl || "").toLowerCase();
-  if (!value) return "glb";
-  if (value.includes(".gltf")) return "gltf";
-  if (value.includes(".glb")) return "glb";
-  if (value.includes(".usdz")) return "usdz";
-  if (value.includes(".fbx")) return "fbx";
-  if (value.includes(".obj")) return "obj";
-  if (value.includes(".stl")) return "stl";
-  if (value.includes(".3mf")) return "3mf";
-  return "glb";
-}
-
-function inferTripoImageType(imageUrl?: string | null) {
-  const value = String(imageUrl || "").toLowerCase();
-  if (value.includes(".png")) return "png";
-  if (value.includes(".webp")) return "webp";
-  return "jpg";
-}
-
-const normalizeMediaUrl = (url: string): string => {
-  const raw = String(url || "").trim();
-  if (!raw) return "";
-
-  try {
-    const parsed = new URL(raw);
-    return `${parsed.origin}${parsed.pathname}`
-      .replace(/\/+$/, "")
-      .toLowerCase();
-  } catch {
-    return raw.split("#")[0].split("?")[0].replace(/\/+$/, "").toLowerCase();
-  }
-};
-
-const normalizeImageIdentityUrl = (url: string): string => {
-  const raw = String(url || "").trim();
-  if (!raw) return "";
-  const canonical = inferOriginalImageUrl(raw);
-  return normalizeMediaUrl(canonical || raw);
-};
-
-const normalizeImageTitle = (raw?: string) => {
-  const title = (raw || "").trim();
-  return title || "";
-};
-
-const getImageNodeTitle = (data: ImageNodeData, nodeId: string) => {
-  return (
-    normalizeImageTitle(data.title) ||
-    normalizeImageTitle(data.prompt) ||
-    `图片-${nodeId.slice(0, 6)}`
-  );
-};
-
-const sanitizeFileName = (name: string) => {
-  const safe = name
-    .replace(/[<>:"/\\|?*\x00-\x1F]/g, "-")
-    .replace(/\s+/g, " ")
-    .trim()
-    .slice(0, 120);
-  return safe || "image";
-};
-
-const triggerBrowserDownload = (
-  url: string,
-  filename?: string,
-  options?: { openInNewTab?: boolean }
-) => {
-  const link = document.createElement("a");
-  link.href = url;
-  if (filename) {
-    link.download = filename;
-  }
-  if (options?.openInNewTab) {
-    link.target = "_blank";
-  }
-  link.rel = "noopener noreferrer";
-  document.body.appendChild(link);
-  link.click();
-  document.body.removeChild(link);
-};
-
-const GENERIC_CANVAS_PROMPTS = new Set([
-  "对话生成",
-  "图片生成",
-  "AI生成",
-  "智能生成",
-  "自动生成",
-]);
-
-const normalizePromptText = (value: unknown): string => {
-  return typeof value === "string" ? value.trim() : "";
-};
-
-const resolveRegeneratePromptSeed = (data: ImageNodeData): string => {
-  const metadataPrompt = normalizePromptText(data.metadata?.generationPrompt);
-  if (metadataPrompt) return metadataPrompt;
-
-  const nodePrompt = normalizePromptText(data.prompt);
-  if (nodePrompt && !GENERIC_CANVAS_PROMPTS.has(nodePrompt)) {
-    return nodePrompt;
-  }
-
-  return nodePrompt;
-};
-
-const COMMON_ASPECT_RATIOS = [
-  "1:1",
-  "2:3",
-  "3:2",
-  "3:4",
-  "4:3",
-  "4:5",
-  "5:4",
-  "9:16",
-  "16:9",
-  "21:9",
-] as const;
-
-function guessNearestAspectRatio(width: number, height: number): string {
-  if (!width || !height) return "auto";
-  const target = width / height;
-  let best = "auto";
-  let minDiff = Number.POSITIVE_INFINITY;
-
-  for (const ratio of COMMON_ASPECT_RATIOS) {
-    const [w, h] = ratio.split(":").map(Number);
-    const value = w / h;
-    const diff = Math.abs(target - value);
-    if (diff < minDiff) {
-      minDiff = diff;
-      best = ratio;
-    }
-  }
-
-  return best;
-}
-
 /**
  * 在图片上绘制标记点，返回带标记的图片 base64
  */
@@ -1802,7 +1676,7 @@ export function ImageNode({
     [data.src, displayImageWidth]
   );
   const fullscreenPreviewSrc = useMemo(() => {
-    const originalUrl = inferOriginalImageUrl(data.src || "");
+    const originalUrl = resolveOriginalImageUrl(data.src || "");
     return buildImageProxyUrl(originalUrl || data.src || "", {
       delivery: "proxy",
       width: 2400,
@@ -7040,7 +6914,7 @@ export function ImageNode({
   // 下载图片 - 通过 fetch 获取图片数据实现真正的下载（避免跨域问题导致跳转）
   const handleDownload = async () => {
     if (!data.src) return;
-    const originalUrl = String(inferOriginalImageUrl(data.src) || data.src || "").trim();
+    const originalUrl = String(resolveOriginalImageUrl(data.src) || data.src || "").trim();
     if (!originalUrl) {
       toast.error("下载失败，请重试");
       return;
diff --git a/components/canvas/nodes/image-node/image-node-utils.ts b/components/canvas/nodes/image-node/image-node-utils.ts
new file mode 100644
index 000000000..4cdbe54e1
--- /dev/null
+++ b/components/canvas/nodes/image-node/image-node-utils.ts
@@ -0,0 +1,145 @@
+import { inferOriginalImageUrl } from "@/lib/image-url";
+import type { ImageNodeData } from "@/types/canvas";
+
+export function inferModelFormat(modelUrl?: string | null) {
+  const value = String(modelUrl || "").toLowerCase();
+  if (!value) return "glb";
+  if (value.includes(".gltf")) return "gltf";
+  if (value.includes(".glb")) return "glb";
+  if (value.includes(".usdz")) return "usdz";
+  if (value.includes(".fbx")) return "fbx";
+  if (value.includes(".obj")) return "obj";
+  if (value.includes(".stl")) return "stl";
+  if (value.includes(".3mf")) return "3mf";
+  return "glb";
+}
+
+export function inferTripoImageType(imageUrl?: string | null) {
+  const value = String(imageUrl || "").toLowerCase();
+  if (value.includes(".png")) return "png";
+  if (value.includes(".webp")) return "webp";
+  return "jpg";
+}
+
+export const normalizeMediaUrl = (url: string): string => {
+  const raw = String(url || "").trim();
+  if (!raw) return "";
+
+  try {
+    const parsed = new URL(raw);
+    return `${parsed.origin}${parsed.pathname}`
+      .replace(/\/+$/, "")
+      .toLowerCase();
+  } catch {
+    return raw.split("#")[0].split("?")[0].replace(/\/+$/, "").toLowerCase();
+  }
+};
+
+export const normalizeImageIdentityUrl = (url: string): string => {
+  const raw = String(url || "").trim();
+  if (!raw) return "";
+  const canonical = inferOriginalImageUrl(raw);
+  return normalizeMediaUrl(canonical || raw);
+};
+
+export const resolveOriginalImageUrl = (url?: string | null): string => {
+  const raw = String(url || "").trim();
+  return String(inferOriginalImageUrl(raw) || raw).trim();
+};
+
+export const normalizeImageTitle = (raw?: string) => {
+  const title = (raw || "").trim();
+  return title || "";
+};
+
+export const getImageNodeTitle = (data: ImageNodeData, nodeId: string) => {
+  return (
+    normalizeImageTitle(data.title) ||
+    normalizeImageTitle(data.prompt) ||
+    `图片-${nodeId.slice(0, 6)}`
+  );
+};
+
+export const sanitizeFileName = (name: string) => {
+  const safe = name
+    .replace(/[<>:"/\\|?*\x00-\x1F]/g, "-")
+    .replace(/\s+/g, " ")
+    .trim()
+    .slice(0, 120);
+  return safe || "image";
+};
+
+export const triggerBrowserDownload = (
+  url: string,
+  filename?: string,
+  options?: { openInNewTab?: boolean }
+) => {
+  const link = document.createElement("a");
+  link.href = url;
+  if (filename) {
+    link.download = filename;
+  }
+  if (options?.openInNewTab) {
+    link.target = "_blank";
+  }
+  link.rel = "noopener noreferrer";
+  document.body.appendChild(link);
+  link.click();
+  document.body.removeChild(link);
+};
+
+const GENERIC_CANVAS_PROMPTS = new Set([
+  "对话生成",
+  "图片生成",
+  "AI生成",
+  "智能生成",
+  "自动生成",
+]);
+
+export const normalizePromptText = (value: unknown): string => {
+  return typeof value === "string" ? value.trim() : "";
+};
+
+export const resolveRegeneratePromptSeed = (data: ImageNodeData): string => {
+  const metadataPrompt = normalizePromptText(data.metadata?.generationPrompt);
+  if (metadataPrompt) return metadataPrompt;
+
+  const nodePrompt = normalizePromptText(data.prompt);
+  if (nodePrompt && !GENERIC_CANVAS_PROMPTS.has(nodePrompt)) {
+    return nodePrompt;
+  }
+
+  return nodePrompt;
+};
+
+const COMMON_ASPECT_RATIOS = [
+  "1:1",
+  "2:3",
+  "3:2",
+  "3:4",
+  "4:3",
+  "4:5",
+  "5:4",
+  "9:16",
+  "16:9",
+  "21:9",
+] as const;
+
+export function guessNearestAspectRatio(width: number, height: number): string {
+  if (!width || !height) return "auto";
+  const target = width / height;
+  let best = "auto";
+  let minDiff = Number.POSITIVE_INFINITY;
+
+  for (const ratio of COMMON_ASPECT_RATIOS) {
+    const [w, h] = ratio.split(":").map(Number);
+    const value = w / h;
+    const diff = Math.abs(target - value);
+    if (diff < minDiff) {
+      minDiff = diff;
+      best = ratio;
+    }
+  }
+
+  return best;
+}