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feat: Updated OpenAPI spec #175

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github-actions merged 1 commit into from
Apr 15, 2026
Merged

feat: Updated OpenAPI spec #175

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4 changes: 2 additions & 2 deletions src/libs/Ideogram/Generated/Ideogram.DatasetsClient.TrainDatasetModel.g.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -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">
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4 changes: 2 additions & 2 deletions src/libs/Ideogram/Generated/Ideogram.IDatasetsClient.TrainDatasetModel.g.cs
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Expand Up @@ -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">
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8 changes: 4 additions & 4 deletions src/libs/Ideogram/Generated/Ideogram.Models.TrainDatasetModelRequest.g.cs
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Expand Up @@ -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>
Expand Down Expand Up @@ -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">
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4 changes: 2 additions & 2 deletions src/libs/Ideogram/openapi.json
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Expand Up @@ -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"
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