fix(canvas): 项目画风执行 - 自动同步模型路由与画风计划

web/src/lib/canvas/canvas-style-execution.ts

@@ -1,5 +1,5 @@
 import { applyStyleExecutionPlan, createStyleProfileSnapshot, parseStyleProfile, resolveStyleExecutionPlan, serializeStyleProfile, type StyleExecutionPlan, type StyleProfileSnapshot } from "@/lib/canvas/style-profile";
-import { resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
+import { logicalModelIDForConfig, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
 import type { CanvasNodeData } from "@/types/canvas";
 
 export type CanvasStyleExecutionRuntime = {
@@ -16,7 +16,8 @@ export function resolveCanvasStyleExecution(nodes: CanvasNodeData[], sourceNode:
     if (!profile) return null;
     const requestConfig = resolveModelRequestConfig(config, config.model);
     const plan = resolveStyleExecutionPlan(profile, { mode, model: requestConfig.model, interfaceType: requestConfig.interfaceType || requestConfig.apiFormat });
-    if (plan.status === "blocked") throw new Error(`项目画风与当前模型不兼容：${plan.warnings.join("；")}`);
+    // 平台模型的真实供应模型由后端入队时路由，前端只能预览，最终兼容性由后端重算。
+    if (plan.status === "blocked" && !logicalModelIDForConfig(config)) throw new Error(`当前模型无法完整执行项目画风：${plan.warnings.join("；")}。请切换模型，或在项目设置中停用对应画风资产`);
     return { profile, profileJson: serializeStyleProfile(profile), plan, prompt: applyStyleExecutionPlan(prompt, plan) };
 }
 

web/src/pages/projects/detail/project-character-media.ts

@@ -1,20 +1,21 @@
 import { runBackendCanvasGenerationTask } from "@/lib/canvas/canvas-project-generation";
 import { resolveStyleExecutionPlan, serializeStyleProfile, type StyleProfileSnapshot } from "@/lib/canvas/style-profile";
-import { resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
+import { logicalModelIDForConfig, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
 
 type ProjectStylePrompt = { id: string; title: string; prompt: string; profile?: StyleProfileSnapshot };
 
 export async function generateCharacterTurnaround(input: { projectId: string; assetId: string; versionId: string; name: string; definition: Record<string, unknown>; projectStyle?: ProjectStylePrompt; config: AiConfig }) {
     const promptTemplateVariables = characterTurnaroundVariables(input.name, input.definition, input.projectStyle);
-    const requestConfig = resolveModelRequestConfig(input.config, input.config.imageModel || input.config.model);
+    const generationConfig = { ...input.config, model: input.config.imageModel || input.config.model, count: "1" };
+    const requestConfig = resolveModelRequestConfig(generationConfig, generationConfig.model);
     const styleExecutionPlan = input.projectStyle?.profile ? resolveStyleExecutionPlan(input.projectStyle.profile, { mode: "image", model: requestConfig.model, interfaceType: requestConfig.interfaceType || requestConfig.apiFormat }) : undefined;
-    if (styleExecutionPlan?.status === "blocked") throw new Error(`项目画风与当前图片模型不兼容：${styleExecutionPlan.warnings.join("；")}`);
+    if (styleExecutionPlan?.status === "blocked" && !logicalModelIDForConfig(generationConfig)) throw new Error(`当前图片模型无法完整执行项目画风：${styleExecutionPlan.warnings.join("；")}。请切换图片模型，或在项目设置中停用对应画风资产`);
     await runBackendCanvasGenerationTask({
         projectId: input.projectId,
         nodeId: `character-turnaround:${input.assetId}`,
         mode: "image",
         prompt: "使用当前启用的角色三视图模板。",
-        config: { ...input.config, model: input.config.imageModel || input.config.model, count: "1" },
+        config: generationConfig,
         metadata: { operation: "character_turnaround", promptTemplateOperation: "character_turnaround", promptTemplateVariables, characterAssetId: input.assetId, stylePresetId: input.projectStyle?.id, styleProfileJson: input.projectStyle?.profile ? serializeStyleProfile(input.projectStyle.profile) : undefined, styleExecutionPlan, resolvedCharacterVersions: [{ assetId: input.assetId, versionId: input.versionId }] },
     });
 }

web/src/services/api/generation-task.ts

@@ -7,12 +7,14 @@ import { isLocalDreaminaBackgroundTask, localDreaminaTaskId, projectLocalDreamin
 import { modelCapabilityConfigFor } from "@/lib/model-capabilities";
 import { grokImagePromptLimitError } from "@/lib/grok-image-prompt-limit";
 import { resolveVideoOperation } from "@/lib/model-selection";
-import { modelOptionName, resolveModelChannel, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
+import { logicalModelIDForConfig, modelOptionName, resolveModelChannel, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
 import { useLocalDreaminaModelStore } from "@/stores/use-local-dreamina-model-store";
 import type { ReferenceImage } from "@/types/image";
 import type { ReferenceAudio, ReferenceVideo } from "@/types/media";
 import { buildBackendToolRequests, type ResponseFunctionTool, type ResponseInputMessage, type ToolChoice, type ToolResponseResult } from "@/services/api/image";
 
+export { logicalModelIDForConfig };
+
 export type BackendGenerationMode = "text" | "image" | "video" | "audio";
 
 export type BackendGenerationResult = {
@@ -500,11 +502,6 @@ export function backendProviderConfig(config: AiConfig) {
     };
 }
 
-export function logicalModelIDForConfig(config: AiConfig) {
-    const channel = resolveModelChannel(config, config.model);
-    return channel.modelCosts?.find((item) => item.model === modelOptionName(config.model))?.logicalModelId || "";
-}
-
 function logicalCapabilityOptions(config: AiConfig, mode: BackendGenerationMode) {
     const channel = resolveModelChannel(config, config.model);
     const spec = channel.modelCosts?.find((item) => item.model === modelOptionName(config.model))?.logicalCapabilitySpec;

web/src/stores/use-config-store.ts

@@ -494,6 +494,11 @@ export function resolveModelChannel(config: AiConfig, value: string) {
     return matched || config.channels[0] || createModelChannel({ id: "default", name: "默认渠道", baseUrl: config.baseUrl, apiKey: config.apiKey, apiFormat: config.apiFormat, models: config.models.map(modelOptionName) });
 }
 
+export function logicalModelIDForConfig(config: AiConfig) {
+    const channel = resolveModelChannel(config, config.model);
+    return channel.modelCosts?.find((item) => item.model === modelOptionName(config.model))?.logicalModelId || "";
+}
+
 export function channelConnectionSignature(channel: ModelChannel) {
     return [channel.baseUrl.trim(), channel.apiKey.trim(), channel.secretKey?.trim() || "", channel.apiFormat, channel.interfaceType || "auto", channel.allowLocalChannel === true ? "local:1" : "local:0", JSON.stringify(channel.headers || [])].join("\n");
 }