SYMBOL INDEX (51 symbols across 10 files)

FILE: StableDiffusion.ML.OnnxRuntime/EulerAncestralDiscreteScheduler.cs
  class EulerAncestralDiscreteScheduler (line 6) | public class EulerAncestralDiscreteScheduler : SchedulerBase
    method EulerAncestralDiscreteScheduler (line 14) | public EulerAncestralDiscreteScheduler(
    method SetTimesteps (line 57) | public override int[] SetTimesteps(int num_inference_steps)
    method Step (line 78) | public override DenseTensor<float> Step(Tensor<float> modelOutput,

FILE: StableDiffusion.ML.OnnxRuntime/LMSDiscreteScheduler.cs
  class LMSDiscreteScheduler (line 7) | public class LMSDiscreteScheduler : SchedulerBase
    method LMSDiscreteScheduler (line 17) | public LMSDiscreteScheduler(int num_train_timesteps = 1000, float beta...
    method GetLmsCoefficient (line 59) | public double GetLmsCoefficient(int order, int t, int currentOrder)
    method SetTimesteps (line 83) | public override int[] SetTimesteps(int num_inference_steps)
    method Step (line 103) | public override DenseTensor<float> Step(

FILE: StableDiffusion.ML.OnnxRuntime/SafetyChecker.cs
  class SafetyChecker (line 9) | public static class SafetyChecker
    method IsNotSafe (line 11) | public static bool IsNotSafe(Tensor<float> resultImage, StableDiffusio...
    method ReorderTensor (line 33) | private static DenseTensor<float> ReorderTensor(Tensor<float> inputTen...
    method ClipImageFeatureExtractor (line 49) | private static DenseTensor<float> ClipImageFeatureExtractor(Tensor<flo...

FILE: StableDiffusion.ML.OnnxRuntime/SchedulerBase.cs
  class SchedulerBase (line 6) | public abstract class SchedulerBase
    method SchedulerBase (line 16) | public SchedulerBase(int _numTrainTimesteps = 1000)
    method Interpolate (line 21) | public static double[] Interpolate(double[] timesteps, double[] range,...
    method ScaleInput (line 66) | public DenseTensor<float> ScaleInput(DenseTensor<float> sample, int ti...
    method SetTimesteps (line 79) | public abstract int[] SetTimesteps(int num_inference_steps);
    method Step (line 81) | public abstract DenseTensor<float> Step(

FILE: StableDiffusion.ML.OnnxRuntime/StableDiffusionConfig.cs
  class StableDiffusionConfig (line 5) | public class StableDiffusionConfig
    type ExecutionProvider (line 8) | public enum ExecutionProvider
    method GetSessionOptionsForEp (line 32) | public SessionOptions GetSessionOptionsForEp()

FILE: StableDiffusion.ML.OnnxRuntime/TensorHelper.cs
  class TensorHelper (line 5) | public class TensorHelper
    method CreateTensor (line 7) | public static DenseTensor<T> CreateTensor<T>(T[] data, int[] dimensions)
    method DivideTensorByFloat (line 12) | public static DenseTensor<float> DivideTensorByFloat(float[] data, flo...
    method MultipleTensorByFloat (line 22) | public static DenseTensor<float> MultipleTensorByFloat(float[] data, f...
    method MultipleTensorByFloat (line 32) | public static DenseTensor<float> MultipleTensorByFloat(Tensor<float> d...
    method AddTensors (line 37) | public static DenseTensor<float> AddTensors(float[] sample, float[] su...
    method AddTensors (line 46) | public static DenseTensor<float> AddTensors(Tensor<float> sample, Tens...
    method SplitTensor (line 51) | public static Tuple<Tensor<float>, Tensor<float>> SplitTensor(Tensor<f...
    method SumTensors (line 74) | public static DenseTensor<float> SumTensors(Tensor<float>[] tensorArra...
    method Duplicate (line 91) | public static DenseTensor<float> Duplicate(float[] data, int[] dimensi...
    method SubtractTensors (line 97) | public static DenseTensor<float> SubtractTensors(float[] sample, float...
    method SubtractTensors (line 106) | public static DenseTensor<float> SubtractTensors(Tensor<float> sample,...
    method GetRandomTensor (line 111) | public static Tensor<float> GetRandomTensor(ReadOnlySpan<int> dimensions)

FILE: StableDiffusion.ML.OnnxRuntime/TextProcessing.cs
  class TextProcessing (line 6) | public static class TextProcessing
    method PreprocessText (line 8) | public static DenseTensor<float> PreprocessText(String prompt, StableD...
    method TokenizeText (line 28) | public static int[] TokenizeText(string text, StableDiffusionConfig co...
    method CreateUncondInput (line 60) | public static int[] CreateUncondInput()
    method TextEncoder (line 73) | public static DenseTensor<float> TextEncoder(int[] tokenizedInput, Sta...

FILE: StableDiffusion.ML.OnnxRuntime/UNet.cs
  class UNet (line 7) | public class UNet
    method CreateUnetModelInput (line 9) | public static List<NamedOnnxValue> CreateUnetModelInput(Tensor<float> ...
    method GenerateLatentSample (line 22) | public static Tensor<float> GenerateLatentSample(StableDiffusionConfig...
    method GenerateLatentSample (line 26) | public static Tensor<float> GenerateLatentSample(int height, int width...
    method performGuidance (line 54) | private static Tensor<float> performGuidance(Tensor<float> noisePred, ...
    method Inference (line 72) | public static SixLabors.ImageSharp.Image Inference(String prompt, Stab...

FILE: StableDiffusion.ML.OnnxRuntime/VaeDecoder.cs
  class VaeDecoder (line 8) | public static class VaeDecoder
    method Decoder (line 10) | public static Tensor<float> Decoder(List<NamedOnnxValue> input, Stable...
    method ConvertToImage (line 25) | public static Image<Rgba32> ConvertToImage(Tensor<float> output, Stabl...

FILE: StableDiffusion/Program.cs
  class Program (line 5) | public class Program
    method Main (line 7) | static void Main(string[] args)