chore(release): 版本发布 - 集成本地模型编辑与画布改动并发布 v1.2.6.rc3

web/src/components/canvas/canvas-node-prompt-panel.tsx

@@ -107,6 +107,11 @@ export function CanvasNodePromptPanel({ node, isRunning, onPromptChange, onConfi
         }, mode),
     };
     const config = buildNodeConfig(globalConfig, node, mode, requirements);
+    const resolvedRequirements: ModelRequirements = {
+        ...requirements,
+        options: modelRequestOptions(config, mode),
+        videoSeconds: mode === "video" ? config.videoSeconds : undefined,
+    };
     const promptOptimizerProvider = useMemo(() => {
         if (!promptOptimizerEnabled || !promptOptimizerInstallation || !promptOptimizerPlugin.createPromptOptimizer) return null;
         return promptOptimizerPlugin.createPromptOptimizer(createPluginHostContext(promptOptimizerPlugin, promptOptimizerInstallation, globalConfig));
@@ -121,9 +126,9 @@ export function CanvasNodePromptPanel({ node, isRunning, onPromptChange, onConfi
         seconds: mode === "video" ? config.videoSeconds : 1,
         capability: mode,
         config,
-        requirements,
+        requirements: resolvedRequirements,
     });
-    const quoteRequest = modelQuoteRequest(config, config.model, mode, requirements);
+    const quoteRequest = modelQuoteRequest(config, config.model, mode, resolvedRequirements);
     const quoteRequestKey = JSON.stringify(quoteRequest || null);
     const [quotedCredits, setQuotedCredits] = useState<number | null>(null);
     const credits = quotedCredits ?? configuredCredits;
@@ -341,9 +346,10 @@ export function CanvasNodePromptPanel({ node, isRunning, onPromptChange, onConfi
                         value={config.model}
                         onChange={(model) => onConfigChange(node.id, mode === "image" ? { model, ...defaultImageParamsForModel(config, model) } : { model })}
                         capability={mode}
-                        requirements={requirements}
+                        requirements={resolvedRequirements}
                         onMissingConfig={() => navigateToSettings({ continueCreation: true })}
                         showSelectedPrice={false}
+                        showOptionPrices={creditsEnabled}
                         variant="creation"
                         showConfiguredModelName
                     />
@@ -690,7 +696,7 @@ function defaultMode(type: CanvasNodeData["type"]): CanvasNodeGenerationMode {
     return type === CanvasNodeType.Text || type === CanvasNodeType.Skill ? "text" : type === CanvasNodeType.Video ? "video" : type === CanvasNodeType.Audio ? "audio" : "image";
 }
 
-function buildNodeConfig(globalConfig: AiConfig, node: CanvasNodeData, mode: CanvasNodeGenerationMode, requirements: ModelRequirements): AiConfig {
+export function buildNodeConfig(globalConfig: AiConfig, node: CanvasNodeData, mode: CanvasNodeGenerationMode, requirements: ModelRequirements): AiConfig {
     const defaultModel = mode === "image" ? globalConfig.imageModel : mode === "video" ? globalConfig.videoModel : mode === "audio" ? globalConfig.audioModel : globalConfig.textModel;
     const fallbackModel = mode === "image" ? defaultConfig.imageModel : mode === "video" ? defaultConfig.videoModel : mode === "audio" ? defaultConfig.audioModel : defaultConfig.textModel;
     const preferredModel = resolveCanvasGenerationModel(globalConfig, node.metadata?.model, mode) || resolveCanvasGenerationModel(globalConfig, defaultModel, mode) || fallbackModel;

web/src/lib/canvas/canvas-generation-task-sync.ts

@@ -22,7 +22,7 @@ export function generationTaskInput(task: GenerationTask) {
 }
 
 export function generationTaskNodeId(task: GenerationTask) {
-    return generationTaskInput(task)?.metadata?.nodeId || "";
+    return task.clientContext?.nodeId || generationTaskInput(task)?.metadata?.nodeId || "";
 }
 
 export function generationTaskMode(task: GenerationTask, fallback?: CanvasGenerationMode): CanvasGenerationMode {

web/src/lib/model-pricing.ts

@@ -1,5 +1,6 @@
 import { modelRequestOptions, resolveVideoOperation, type ModelRequirements } from "@/lib/model-selection";
 import { videoResolutionComparisonKey } from "@/lib/video-generation-options";
+import { buildImageResolutionOptions, imageResolutionOption } from "@/lib/image-resolution-tiers";
 import type { ModelRequestIntent } from "@/services/api/logical-models";
 import { modelOptionName, resolveModelChannel, type AiConfig, type ModelCapability } from "@/stores/use-config-store";
 
@@ -79,7 +80,7 @@ export function modelQuoteRequest(config: AiConfig, value: string, capability?:
     const input = requirements?.input;
     const intent: ModelRequestIntent = {
         capability,
-        operation: capability === "video" && input ? resolveVideoOperation(input, requirements?.videoOperation) : requirements?.videoOperation,
+        operation: capability === "image" ? imagePriceOperation(requirements) : capability === "video" && input ? resolveVideoOperation(input, requirements?.videoOperation) : requirements?.videoOperation,
         inputs: {
             image: (input?.imageCount || 0) + (input?.characterCount || 0),
             video: input?.videoCount || 0,
@@ -115,12 +116,27 @@ function priceSelectorForRequest(capability: ModelCapability | undefined, config
         if (seconds > 0) requested.videoSeconds = String(seconds);
     }
     if (capability === "image") {
-        if (config.quality && config.quality !== "auto") requested.quality = config.quality.toLowerCase();
-        if (config.size && config.size !== "auto") requested.size = config.size.toLowerCase();
+        requested.operation = imagePriceOperation(requirements);
+        const options = { ...modelRequestOptions(config, "image"), ...requirements?.options, ...(requirements?.imageSize ? { size: requirements.imageSize } : {}) };
+        const imageQuality = String(options.quality ?? "").trim().toLowerCase();
+        const imageSize = String(options.size ?? "").trim();
+        if ((imageQuality === "" || imageQuality === "auto" || imageQuality === "any") && imageSize) {
+            const resolution = imageResolutionOption(buildImageResolutionOptions([imageSize]), imageSize)?.tier;
+            if (resolution) requested.quality = resolution;
+        }
+        for (const key of ["quality", "size"] as const) {
+            const value = String(options[key] ?? "").trim().toLowerCase();
+            if (value && value !== "auto" && value !== "any" && !requested[key]) requested[key] = value;
+        }
     }
     return requested;
 }
 
+function imagePriceOperation(requirements?: ModelRequirements) {
+    const input = requirements?.input;
+    return (input?.imageCount || 0) + (input?.characterCount || 0) > 0 ? "image_to_image" : "text_to_image";
+}
+
 function priceSelectorForTier(tier: ModelPriceTier) {
     const selector = { ...(tier.selector || {}) };
     if (!Object.keys(selector).length) {

web/src/pages/canvas/use-canvas-generation.ts

@@ -377,7 +377,7 @@ export function useCanvasGeneration({ projectId, domainProjectId, projectLoaded,
             const needsDiscovery = recoveryNodes.some((node) => !node.metadata?.taskId && !node.metadata?.agentGenerationContinuation?.taskId);
             const projectTasks = needsDiscovery
                 ? (
-                      await listGenerationTasks(30, { projectId: startedProjectId }, undefined, signal).catch((error) => {
+                      await listGenerationTasks(100, { projectId: startedProjectId }, undefined, signal).catch((error) => {
                           if (!isCurrentProject()) throw error;
                           return [];
                       })