feat: Updated OpenAPI spec (#174)

Co-authored-by: github-actions[bot] <dependabot@bot.com>

Author: HavenDV

src/libs/Ideogram/Generated/Ideogram.DatasetsClient.TrainDatasetModel.g.cs

@@ -45,7 +45,7 @@ partial void ProcessTrainDatasetModelResponseContent(
 
         /// <summary>
         /// Train a model from a dataset<br/>
-        /// Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.
+        /// Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="request"></param>
@@ -494,7 +494,7 @@ partial void ProcessTrainDatasetModelResponseContent(
         }
         /// <summary>
         /// Train a model from a dataset<br/>
-        /// Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.
+        /// Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="modelName">

src/libs/Ideogram/Generated/Ideogram.DatasetsClient.UploadDatasetAssets.g.cs

@@ -45,7 +45,7 @@ partial void ProcessUploadDatasetAssetsResponseContent(
 
         /// <summary>
         /// Upload assets to a dataset<br/>
-        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.
+        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="request"></param>
@@ -505,7 +505,7 @@ partial void ProcessUploadDatasetAssetsResponseContent(
         }
         /// <summary>
         /// Upload assets to a dataset<br/>
-        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.
+        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="files">

src/libs/Ideogram/Generated/Ideogram.IDatasetsClient.TrainDatasetModel.g.cs

@@ -6,7 +6,7 @@ public partial interface IDatasetsClient
     {
         /// <summary>
         /// Train a model from a dataset<br/>
-        /// Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.
+        /// Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="request"></param>
@@ -21,7 +21,7 @@ public partial interface IDatasetsClient
             global::System.Threading.CancellationToken cancellationToken = default);
         /// <summary>
         /// Train a model from a dataset<br/>
-        /// Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.
+        /// Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="modelName">

src/libs/Ideogram/Generated/Ideogram.IDatasetsClient.UploadDatasetAssets.g.cs

@@ -6,7 +6,7 @@ public partial interface IDatasetsClient
     {
         /// <summary>
         /// Upload assets to a dataset<br/>
-        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.
+        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="request"></param>
@@ -21,7 +21,7 @@ public partial interface IDatasetsClient
             global::System.Threading.CancellationToken cancellationToken = default);
         /// <summary>
         /// Upload assets to a dataset<br/>
-        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.
+        /// Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.
         /// </summary>
         /// <param name="datasetId"></param>
         /// <param name="files">

src/libs/Ideogram/Generated/autosdk.generated-examples.json

@@ -48,7 +48,7 @@
       "Order": 5,
       "Title": "Train a model from a dataset",
       "Slug": "train-dataset-model",
-      "Description": "Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.",
+      "Description": "Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.",
       "Language": "http",
       "Code": "### Train a model from a dataset\n# @name train_dataset_model\nPOST {{host}}/datasets/{{dataset_id}}/train_model\nAuthorization: Bearer {{token}}\nContent-Type: application/json\nAccept: application/json\n\n{\n  \u0022model_name\u0022: \u0022my-custom-model\u0022,\n  \u0022lora_rank\u0022: 64,\n  \u0022num_chips\u0022: 32,\n  \u0022ema\u0022: 0.999,\n  \u0022base_model_version\u0022: \u0022V_3_1\u0022,\n  \u0022training_steps\u0022: 1000,\n  \u0022learning_rate\u0022: 0.0001\n}\n\n## Responses\n# 200\n# Description: Training started successfully\n# Content-Type: application/json\n# 400\n# Description: Bad request\n# 401\n# Description: Unauthorized\n# 404\n# Description: Dataset not found",
       "Format": "http",
@@ -59,7 +59,7 @@
       "Order": 6,
       "Title": "Upload assets to a dataset",
       "Slug": "upload-dataset-assets",
-      "Description": "Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.",
+      "Description": "Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.",
       "Language": "http",
       "Code": "### Upload assets to a dataset\n# @name upload_dataset_assets\nPOST {{host}}/datasets/{{dataset_id}}/upload_assets\nAuthorization: Bearer {{token}}\nContent-Type: multipart/form-data\nAccept: application/json\n\n## Responses\n# 200\n# Description: Upload summary\n# Content-Type: application/json\n# 400\n# Description: Bad request\n# 401\n# Description: Unauthorized\n# 404\n# Description: Dataset not found",
       "Format": "http",

src/libs/Ideogram/openapi.json

@@ -144,7 +144,7 @@
     },
     "/datasets/{dataset_id}/train_model": {
       "post": {
-        "description": "Start training a custom model from a dataset. The dataset must contain at least 5 images. Returns the model ID and training status.\n",
+        "description": "Start training a custom model from a dataset. The dataset must contain at least 15 images. Returns the model ID and training status.\n",
         "operationId": "train_dataset_model",
         "parameters": [
           {
@@ -198,7 +198,7 @@
     },
     "/datasets/{dataset_id}/upload_assets": {
       "post": {
-        "description": "Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions.\n",
+        "description": "Upload image assets to a dataset for model training. Accepts individual images (JPEG, PNG, WebP), optional .txt caption sidecar files, and/or ZIP archives containing images and captions. A dataset can contain up to 100 images.\n",
         "operationId": "upload_dataset_assets",
         "parameters": [
           {