diff --git a/crates/schema/database/mysql_queries/src/queries/generic_inference/api_providers/seedance2pro/insert_generic_inference_job_for_seedance2pro_queue_with_apriori_job_token.rs b/crates/schema/database/mysql_queries/src/queries/generic_inference/api_providers/seedance2pro/insert_generic_inference_job_for_seedance2pro_queue_with_apriori_job_token.rs
index 021b3d883c..9139375556 100644
--- a/crates/schema/database/mysql_queries/src/queries/generic_inference/api_providers/seedance2pro/insert_generic_inference_job_for_seedance2pro_queue_with_apriori_job_token.rs
+++ b/crates/schema/database/mysql_queries/src/queries/generic_inference/api_providers/seedance2pro/insert_generic_inference_job_for_seedance2pro_queue_with_apriori_job_token.rs
@@ -70,28 +70,46 @@ pub async fn insert_generic_inference_job_for_seedance2pro_queue_with_apriori_jo
 ) -> Result<InferenceJobToken, DatabaseQueryError>
   where E: 'e + Executor<'c, Database = MySql>
 {
+  let is_image_model = match args.maybe_model_type {
+    Some(CommonModelType::Midjourney7) |
+    Some(CommonModelType::Midjourney7Niji) |
+    Some(CommonModelType::Midjourney8) => true,
+    _ => false,
+  };
+
   let (
     job_type,
     external_third_party,
     product_category
-  ) = match args.kinovi_version {
-    KinoviVersion::Volcengine => (
+  ) = match (args.kinovi_version, is_image_model) {
+    (KinoviVersion::Volcengine, true) => (
       InferenceJobType::Seedance2ProQueue,
       InferenceJobExternalThirdParty::Seedance2Pro,
       InferenceJobProductCategory::Seedance2ProVideo,
     ),
-    KinoviVersion::BytePlus => (
+    (KinoviVersion::Volcengine, false) => (
+      InferenceJobType::Seedance2ProQueue,
+      InferenceJobExternalThirdParty::Seedance2Pro,
+      InferenceJobProductCategory::Seedance2ProImage,
+    ),
+    (KinoviVersion::BytePlus, _) => (
       InferenceJobType::Seedance2ProAltQueue,
       InferenceJobExternalThirdParty::Seedance2ProAlt,
       InferenceJobProductCategory::Seedance2ProVideoAlt,
     ),
-    KinoviVersion::BytePlusUltra => (
+    (KinoviVersion::BytePlusUltra, _) => (
       InferenceJobType::Seedance2ProBytePlusUltraQueue,
       InferenceJobExternalThirdParty::Seedance2ProBytePlusUltra,
       InferenceJobProductCategory::Seedance2ProVideoBytePlusUltra,
     ),
   };
 
+  let inference_category = if is_image_model {
+    InferenceCategory::ImageGeneration
+  } else {
+    InferenceCategory::VideoGeneration
+  };
+
   let record_id = insert_generic_inference_job_for_provider(InsertGenericInferenceJobForProviderArgs {
     apriori_job_token: args.apriori_job_token,
     uuid_idempotency_token: args.uuid_idempotency_token,
@@ -99,7 +117,7 @@ pub async fn insert_generic_inference_job_for_seedance2pro_queue_with_apriori_jo
     external_third_party,
     external_third_party_id: args.maybe_external_third_party_id,
     product_category,
-    inference_category: InferenceCategory::VideoGeneration,
+    inference_category,
     maybe_model_type: args.maybe_model_type,
     maybe_prompt_token: args.maybe_prompt_token,
     maybe_wallet_ledger_entry_token: args.maybe_wallet_ledger_entry_token,
diff --git a/crates/schema/public/enums/src/by_table/generic_inference_jobs/inference_job_product_category.rs b/crates/schema/public/enums/src/by_table/generic_inference_jobs/inference_job_product_category.rs
index fb447351de..1ce6fc6eaf 100644
--- a/crates/schema/public/enums/src/by_table/generic_inference_jobs/inference_job_product_category.rs
+++ b/crates/schema/public/enums/src/by_table/generic_inference_jobs/inference_job_product_category.rs
@@ -53,6 +53,10 @@ pub enum InferenceJobProductCategory {
   #[serde(rename = "seedance2pro_character")]
   Seedance2ProCharacter,
 
+  /// Seedance 2 Pro / Kinovi: Midjourney image generation.
+  #[serde(rename = "seedance2pro_image")]
+  Seedance2ProImage,
+
   // =============== SEEDANCE 2 PRO ALT ===============
 
   #[serde(rename = "seedance2pro_video_alt")]
@@ -169,6 +173,7 @@ impl InferenceJobProductCategory {
       Self::BeebleVideo => "beeble_video",
       Self::Seedance2ProVideo => "seedance2pro_video",
       Self::Seedance2ProCharacter => "seedance2pro_character",
+      Self::Seedance2ProImage => "seedance2pro_image",
       Self::Seedance2ProVideoAlt => "seedance2pro_video_alt",
       Self::Seedance2ProVideoBytePlusUltra => "seedance2pro_video_bpu",
       Self::WorldlabsSplat => "worldlabs_splat",
@@ -209,6 +214,7 @@ impl InferenceJobProductCategory {
       "beeble_video" => Ok(Self::BeebleVideo),
       "seedance2pro_video" => Ok(Self::Seedance2ProVideo),
       "seedance2pro_character" => Ok(Self::Seedance2ProCharacter),
+      "seedance2pro_image" => Ok(Self::Seedance2ProImage),
       "seedance2pro_video_alt" => Ok(Self::Seedance2ProVideoAlt),
       "seedance2pro_video_bpu" => Ok(Self::Seedance2ProVideoBytePlusUltra),
       "worldlabs_splat" => Ok(Self::WorldlabsSplat),
@@ -252,6 +258,7 @@ impl InferenceJobProductCategory {
       Self::BeebleVideo,
       Self::Seedance2ProVideo,
       Self::Seedance2ProCharacter,
+      Self::Seedance2ProImage,
       Self::Seedance2ProVideoAlt,
       Self::Seedance2ProVideoBytePlusUltra,
       Self::WorldlabsSplat,
@@ -301,6 +308,7 @@ mod tests {
       assert_serialization(InferenceJobProductCategory::BeebleVideo, "beeble_video");
       assert_serialization(InferenceJobProductCategory::Seedance2ProVideo, "seedance2pro_video");
       assert_serialization(InferenceJobProductCategory::Seedance2ProCharacter, "seedance2pro_character");
+      assert_serialization(InferenceJobProductCategory::Seedance2ProImage, "seedance2pro_image");
       assert_serialization(InferenceJobProductCategory::Seedance2ProVideoAlt, "seedance2pro_video_alt");
       assert_serialization(InferenceJobProductCategory::Seedance2ProVideoBytePlusUltra, "seedance2pro_video_bpu");
       assert_serialization(InferenceJobProductCategory::WorldlabsSplat, "worldlabs_splat");
@@ -340,6 +348,7 @@ mod tests {
       assert_eq!(InferenceJobProductCategory::BeebleVideo.to_str(), "beeble_video");
       assert_eq!(InferenceJobProductCategory::Seedance2ProVideo.to_str(), "seedance2pro_video");
       assert_eq!(InferenceJobProductCategory::Seedance2ProCharacter.to_str(), "seedance2pro_character");
+      assert_eq!(InferenceJobProductCategory::Seedance2ProImage.to_str(), "seedance2pro_image");
       assert_eq!(InferenceJobProductCategory::Seedance2ProVideoAlt.to_str(), "seedance2pro_video_alt");
       assert_eq!(InferenceJobProductCategory::Seedance2ProVideoBytePlusUltra.to_str(), "seedance2pro_video_bpu");
       assert_eq!(InferenceJobProductCategory::WorldlabsSplat.to_str(), "worldlabs_splat");
@@ -378,6 +387,7 @@ mod tests {
       assert_eq!(InferenceJobProductCategory::from_str("beeble_video").unwrap(), InferenceJobProductCategory::BeebleVideo);
       assert_eq!(InferenceJobProductCategory::from_str("seedance2pro_video").unwrap(), InferenceJobProductCategory::Seedance2ProVideo);
       assert_eq!(InferenceJobProductCategory::from_str("seedance2pro_character").unwrap(), InferenceJobProductCategory::Seedance2ProCharacter);
+      assert_eq!(InferenceJobProductCategory::from_str("seedance2pro_image").unwrap(), InferenceJobProductCategory::Seedance2ProImage);
       assert_eq!(InferenceJobProductCategory::from_str("seedance2pro_video_alt").unwrap(), InferenceJobProductCategory::Seedance2ProVideoAlt);
       assert_eq!(InferenceJobProductCategory::from_str("seedance2pro_video_bpu").unwrap(), InferenceJobProductCategory::Seedance2ProVideoBytePlusUltra);
       assert_eq!(InferenceJobProductCategory::from_str("worldlabs_splat").unwrap(), InferenceJobProductCategory::WorldlabsSplat);
@@ -407,7 +417,7 @@ mod tests {
     #[test]
     fn all_variants() {
       // Static check
-      const EXPECTED_COUNT : usize = 35;
+      const EXPECTED_COUNT : usize = 36;
 
       assert_eq!(InferenceJobProductCategory::all_variants().len(), EXPECTED_COUNT);
       assert_eq!(InferenceJobProductCategory::iter().len(), EXPECTED_COUNT);