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feat: Updated OpenAPI spec (#182)
Co-authored-by: github-actions[bot] <dependabot@bot.com>
1 parent 07f69a1 commit bd27966

19 files changed

Lines changed: 1792 additions & 415 deletions

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

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@@ -501,55 +501,18 @@ partial void ProcessTrainDatasetModelResponseContent(
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/// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
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/// Example: my-custom-model
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/// </param>
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/// <param name="trainingSteps">
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/// Number of training steps. Must be between 100 and 20000 and a multiple of 100. Defaults to 1000.<br/>
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/// Example: 1000
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/// </param>
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/// <param name="loraRank">
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/// 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/>
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/// Example: 64
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/// </param>
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/// <param name="numChips">
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/// 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/>
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/// Example: 32
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/// </param>
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/// <param name="baseModelVersion">
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/// Base model version to train on. Defaults to V_3_1.<br/>
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/// Default Value: V_3_1<br/>
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/// Example: V_3_1
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/// </param>
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/// <param name="ema">
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/// Exponential moving average decay rate. Must be greater than 0.<br/>
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/// Example: 0.999F
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/// </param>
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/// <param name="learningRate">
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/// Learning rate for the optimizer. Must be greater than 0.<br/>
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/// Example: 0.0001F
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/// </param>
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/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
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/// <param name="cancellationToken">The token to cancel the operation with</param>
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/// <exception cref="global::System.InvalidOperationException"></exception>
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public async global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainDatasetModelAsync(
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string datasetId,
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string modelName,
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int? trainingSteps = default,
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int? loraRank = default,
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int? numChips = default,
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global::Ideogram.TrainDatasetModelRequestBaseModelVersion? baseModelVersion = default,
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double? ema = default,
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double? learningRate = default,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default)
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{
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var __request = new global::Ideogram.TrainDatasetModelRequest
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{
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ModelName = modelName,
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TrainingSteps = trainingSteps,
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LoraRank = loraRank,
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NumChips = numChips,
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BaseModelVersion = baseModelVersion,
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Ema = ema,
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LearningRate = learningRate,
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};
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return await TrainDatasetModelAsync(

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

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@@ -28,43 +28,12 @@ public partial interface IDatasetsClient
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/// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
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/// Example: my-custom-model
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/// </param>
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/// <param name="trainingSteps">
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/// Number of training steps. Must be between 100 and 20000 and a multiple of 100. Defaults to 1000.<br/>
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/// Example: 1000
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/// </param>
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/// <param name="loraRank">
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/// 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/>
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/// Example: 64
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/// </param>
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/// <param name="numChips">
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/// 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/>
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/// Example: 32
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/// </param>
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/// <param name="baseModelVersion">
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/// Base model version to train on. Defaults to V_3_1.<br/>
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/// Default Value: V_3_1<br/>
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/// Example: V_3_1
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/// </param>
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/// <param name="ema">
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/// Exponential moving average decay rate. Must be greater than 0.<br/>
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/// Example: 0.999F
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/// </param>
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/// <param name="learningRate">
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/// Learning rate for the optimizer. Must be greater than 0.<br/>
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/// Example: 0.0001F
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/// </param>
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/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
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/// <param name="cancellationToken">The token to cancel the operation with</param>
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/// <exception cref="global::System.InvalidOperationException"></exception>
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global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainDatasetModelAsync(
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string datasetId,
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string modelName,
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int? trainingSteps = default,
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int? loraRank = default,
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int? numChips = default,
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global::Ideogram.TrainDatasetModelRequestBaseModelVersion? baseModelVersion = default,
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double? ema = default,
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double? learningRate = default,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default);
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}

‎src/libs/Ideogram/Generated/Ideogram.IModelsClient.TrainModelV3.g.cs‎

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#nullable enable
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namespace Ideogram
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{
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public partial interface IModelsClient
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{
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/// <summary>
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/// Train a custom Ideogram v3 model<br/>
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/// Start training a custom Ideogram v3 model from a dataset using default hyperparameters. The dataset must contain at least 15 images and a maximum of 100 images.
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/// </summary>
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/// <param name="request"></param>
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/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
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/// <param name="cancellationToken">The token to cancel the operation with</param>
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/// <exception cref="global::Ideogram.ApiException"></exception>
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global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3Async(
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global::Ideogram.TrainModelV3Request request,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default);
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/// <summary>
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/// Train a custom Ideogram v3 model<br/>
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/// Start training a custom Ideogram v3 model from a dataset using default hyperparameters. The dataset must contain at least 15 images and a maximum of 100 images.
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/// </summary>
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/// <param name="datasetId">
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/// ID of the dataset to train the model from.<br/>
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/// Example: abc123
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/// </param>
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/// <param name="modelName">
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/// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
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/// Example: my-custom-model
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/// </param>
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/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
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/// <param name="cancellationToken">The token to cancel the operation with</param>
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/// <exception cref="global::System.InvalidOperationException"></exception>
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global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3Async(
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string datasetId,
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string modelName,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default);
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}
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}

‎src/libs/Ideogram/Generated/Ideogram.IModelsClient.TrainModelV3Advanced.g.cs‎

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#nullable enable
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namespace Ideogram
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{
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public partial interface IModelsClient
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{
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/// <summary>
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/// Train a custom Ideogram v3 model with advanced hyperparameters<br/>
9+
/// Start training a custom Ideogram v3 model from a dataset with caller-supplied hyperparameters (training steps, LoRA rank, EMA decay, learning rate). All hyperparameters are optional and fall back to defaults when omitted. The dataset must contain at least 15 images and a maximum of 100 images. Returns the model ID and training status.
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/// </summary>
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/// <param name="request"></param>
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/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
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/// <param name="cancellationToken">The token to cancel the operation with</param>
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/// <exception cref="global::Ideogram.ApiException"></exception>
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global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3AdvancedAsync(
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global::Ideogram.TrainModelV3AdvancedRequest request,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default);
20+
/// <summary>
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/// Train a custom Ideogram v3 model with advanced hyperparameters<br/>
22+
/// Start training a custom Ideogram v3 model from a dataset with caller-supplied hyperparameters (training steps, LoRA rank, EMA decay, learning rate). All hyperparameters are optional and fall back to defaults when omitted. The dataset must contain at least 15 images and a maximum of 100 images. Returns the model ID and training status.
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/// </summary>
24+
/// <param name="datasetId">
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/// ID of the dataset to train the model from.<br/>
26+
/// Example: abc123
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/// </param>
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/// <param name="modelName">
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/// Name for the trained model. Must be 5-30 characters, alphanumeric with spaces and hyphens allowed.<br/>
30+
/// Example: my-custom-model
31+
/// </param>
32+
/// <param name="trainingSteps">
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/// Number of training steps. Must be between 100 and 10000 and a multiple of 100. Defaults to 1000.<br/>
34+
/// Example: 1000
35+
/// </param>
36+
/// <param name="loraRank">
37+
/// LoRA rank for model training. Must be one of 64 or 128. Defaults to 128. Higher rank increases model capacity at the cost of longer training and larger weights.<br/>
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/// Example: 64
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/// </param>
40+
/// <param name="ema">
41+
/// Exponential moving average decay rate for the model weights. Must be between 0 and 1 (exclusive). Typical values are 0.99-0.9999; higher values produce smoother weight averages but respond more slowly to training updates.<br/>
42+
/// Example: 0.999F
43+
/// </param>
44+
/// <param name="learningRate">
45+
/// Learning rate for the optimizer. Must be greater than 0. Typical values for LoRA fine-tuning are 1e-5 to 1e-4; larger values train faster but risk instability.<br/>
46+
/// Example: 0.0001F
47+
/// </param>
48+
/// <param name="requestOptions">Per-request overrides such as headers, query parameters, timeout, retries, and response buffering.</param>
49+
/// <param name="cancellationToken">The token to cancel the operation with</param>
50+
/// <exception cref="global::System.InvalidOperationException"></exception>
51+
global::System.Threading.Tasks.Task<global::Ideogram.TrainDatasetModelResponse> TrainModelV3AdvancedAsync(
52+
string datasetId,
53+
string modelName,
54+
int? trainingSteps = default,
55+
int? loraRank = default,
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double? ema = default,
57+
double? learningRate = default,
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global::Ideogram.AutoSDKRequestOptions? requestOptions = default,
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global::System.Threading.CancellationToken cancellationToken = default);
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}
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}

‎src/libs/Ideogram/Generated/Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersion.g.cs‎

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This file was deleted.

‎src/libs/Ideogram/Generated/Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersionNullable.g.cs‎

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‎src/libs/Ideogram/Generated/Ideogram.JsonSerializerContext.g.cs‎

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typeof(global::Ideogram.JsonConverters.DatasetAssetFailureReasonNullableJsonConverter),
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typeof(global::Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersionJsonConverter),
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typeof(global::Ideogram.JsonConverters.TrainDatasetModelRequestBaseModelVersionNullableJsonConverter),
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typeof(global::Ideogram.JsonConverters.ModelStatusJsonConverter),
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typeof(global::Ideogram.JsonConverters.ModelStatusNullableJsonConverter),
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.UploadDatasetAssetsRequest))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelResponse))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelRequest))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainDatasetModelRequestBaseModelVersion), TypeInfoPropertyName = "TrainDatasetModelRequestBaseModelVersion2")]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(double))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ListModelsResponse))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList<global::Ideogram.CustomModel>))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.CustomModel))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ModelStatus), TypeInfoPropertyName = "ModelStatus2")]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList<global::Ideogram.TrainingRun>))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainingRun))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainingRunStatus), TypeInfoPropertyName = "TrainingRunStatus2")]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(double))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.GetModelResponse))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainModelV3Request))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.TrainModelV3AdvancedRequest))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPaletteWithPresetName))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPaletteWithMembers))]
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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Ideogram.ColorPalettePresetName), TypeInfoPropertyName = "ColorPalettePresetName2")]

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