ModelDebug runner

OnnxStack.Console/Examples/ModelDebug.cs

@@ -0,0 +1,63 @@
+using OnnxStack.Core.Image;
+using OnnxStack.StableDiffusion.Config;
+using OnnxStack.StableDiffusion.Enums;
+using OnnxStack.StableDiffusion.Pipelines;
+
+namespace OnnxStack.Console.Runner
+{
+    public sealed class ModelDebug : IExampleRunner
+    {
+        private readonly string _outputDirectory;
+        private readonly StableDiffusionConfig _configuration;
+
+        public ModelDebug(StableDiffusionConfig configuration)
+        {
+            _configuration = configuration;
+            _outputDirectory = Path.Combine(Directory.GetCurrentDirectory(), "Examples", nameof(ModelDebug));
+            Directory.CreateDirectory(_outputDirectory);
+        }
+
+        public int Index => 1;
+
+        public string Name => "Model Debug";
+
+        public string Description => "Model Debug";
+
+        public async Task RunAsync()
+        {
+            // Create Pipeline
+            // var pipeline = InstaFlowPipeline.CreatePipeline("D:\\Repositories\\Instaflow-onnx");
+            // var pipeline = LatentConsistencyPipeline.CreatePipeline("D:\\Repositories\\LCM_Dreamshaper_v7-onnx");
+            // var pipeline = LatentConsistencyXLPipeline.CreatePipeline("D:\\Repositories\\Latent-Consistency-xl-Olive-Onnx");
+            // var pipeline = StableDiffusionPipeline.CreatePipeline("D:\\Repositories\\stable-diffusion-v1-5");
+            var pipeline = StableDiffusionXLPipeline.CreatePipeline("D:\\Repositories\\Hyper-SD-onnx");
+
+            // Prompt
+            var promptOptions = new PromptOptions
+            {
+                Prompt = "a photo of a cat drinking at a bar with a penguin"
+            };
+
+            // Scheduler
+            var schedulerOptions = pipeline.DefaultSchedulerOptions with
+            {
+                InferenceSteps = 1,
+                GuidanceScale = 0,
+                SchedulerType = SchedulerType.DDIM,
+                Timesteps = new List<int> { 800 }
+            };
+
+            // Run pipeline
+            var result = await pipeline.RunAsync(promptOptions, schedulerOptions, progressCallback: OutputHelpers.ProgressCallback);
+
+            // Create Image from Tensor result
+            var image = new OnnxImage(result);
+
+            // Save Image File
+            await image.SaveAsync(Path.Combine(_outputDirectory, $"{pipeline.GetType().Name}-{schedulerOptions.Seed}.png"));
+
+            //Unload
+            await pipeline.UnloadAsync();
+        }
+    }
+}