优化408

backend/internal/provider/adobe/payloads.go

@@ -112,10 +112,6 @@ func BuildImagePayloadCandidates(modelID, prompt, aspectRatio, outputResolution
 
 func buildGPTImagePayloads(spec modelSpec, prompt, ratio, resolution string, blobIDs []string) []map[string]any {
 	size := getSize(gptImageSize, resolution, ratio, "1:1")
-	// Mirrors the captured working gpt-image request shape: modelSpecificPayload.size,
-	// generationSettings.detailLevel 3, and NO top-level size / outputResolution
-	// (sending those got 403). Keeps the chosen size via modelSpecificPayload.size
-	// ("WxH") rather than "auto".
 	base := map[string]any{
 		"modelId":              spec.UpstreamModelID,
 		"modelVersion":         spec.UpstreamModelVersion,
@@ -124,8 +120,9 @@ func buildGPTImagePayloads(spec modelSpec, prompt, ratio, resolution string, blo
 		"seeds":                []int{int(time.Now().Unix()) % 999999},
 		"output":               map[string]any{"storeInputs": true},
 		"referenceBlobs":       []any{},
+		"size":                 map[string]any{"width": size[0], "height": size[1]},
 		"generationMetadata":   map[string]any{"module": "text2image", "submodule": "ff-image-generate"},
-		"modelSpecificPayload": map[string]any{"size": sizeString(size)},
+		"modelSpecificPayload": map[string]any{},
 		"generationSettings":   map[string]any{"detailLevel": 3},
 	}
 	if len(blobIDs) == 0 {
@@ -211,10 +208,6 @@ func getSize(table map[string]map[string][2]int, resolution, ratio, fallbackRati
 	return size
 }
 
-func sizeString(size [2]int) string {
-	return itoa(size[0]) + "x" + itoa(size[1])
-}
-
 func blobRefs(ids []string, usage string) []any {
 	out := make([]any, 0, len(ids))
 	for _, id := range ids {