feat: Updated OpenAPI spec (#175)

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

Author: HavenDV

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

@@ -506,11 +506,11 @@ partial void ProcessTrainDatasetModelResponseContent(
         /// Example: 1000
         /// </param>
         /// <param name="loraRank">
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank &gt; 128 requires num_chips &gt;= 32.<br/>
+        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
         /// Example: 64
         /// </param>
         /// <param name="numChips">
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16 or 32, V_4_0 supports 128.<br/>
+        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
         /// Example: 32
         /// </param>
         /// <param name="baseModelVersion">

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

@@ -33,11 +33,11 @@ public partial interface IDatasetsClient
         /// Example: 1000
         /// </param>
         /// <param name="loraRank">
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank &gt; 128 requires num_chips &gt;= 32.<br/>
+        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
         /// Example: 64
         /// </param>
         /// <param name="numChips">
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16 or 32, V_4_0 supports 128.<br/>
+        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
         /// Example: 32
         /// </param>
         /// <param name="baseModelVersion">

src/libs/Ideogram/Generated/Ideogram.Models.TrainDatasetModelRequest.g.cs

@@ -26,15 +26,15 @@ public sealed partial class TrainDatasetModelRequest
         public int? TrainingSteps { get; set; }
 
         /// <summary>
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank &gt; 128 requires num_chips &gt;= 32.<br/>
+        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
         /// Example: 64
         /// </summary>
         /// <example>64</example>
         [global::System.Text.Json.Serialization.JsonPropertyName("lora_rank")]
         public int? LoraRank { get; set; }
 
         /// <summary>
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16 or 32, V_4_0 supports 128.<br/>
+        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
         /// Example: 32
         /// </summary>
         /// <example>32</example>
@@ -85,11 +85,11 @@ public sealed partial class TrainDatasetModelRequest
         /// Example: 1000
         /// </param>
         /// <param name="loraRank">
-        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank &gt; 128 requires num_chips &gt;= 32.<br/>
+        /// LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips &gt;= 64.<br/>
         /// Example: 64
         /// </param>
         /// <param name="numChips">
-        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16 or 32, V_4_0 supports 128.<br/>
+        /// Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.<br/>
         /// Example: 32
         /// </param>
         /// <param name="baseModelVersion">

src/libs/Ideogram/openapi.json

@@ -8466,13 +8466,13 @@
             "type": "integer"
           },
           "lora_rank": {
-            "description": "LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank > 128 requires num_chips >= 32.\n",
+            "description": "LoRA rank for model training. Must be one of 64, 128, or 256. Defaults to 128. Note: lora_rank 256 requires num_chips >= 64.\n",
             "example": 64,
             "title": "lora_rank",
             "type": "integer"
           },
           "num_chips": {
-            "description": "Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16 or 32, V_4_0 supports 128.\n",
+            "description": "Number of TPU chips to use. Allowed values depend on the base_model_version: V_3_1 supports 16, 32, or 64, V_4_0 supports 128.\n",
             "example": 32,
             "title": "num_chips",
             "type": "integer"