Fox inverted W/H parameters

Author: saddam213

OnnxStack.StableDiffusion/Diffusers/LatentConsistency/ImageDiffuser.cs

@@ -52,7 +52,7 @@ protected override IReadOnlyList<int> GetTimesteps(PromptOptions prompt, Schedul
         protected override DenseTensor<float> PrepareLatents(IModelOptions model, PromptOptions prompt, SchedulerOptions options, IScheduler scheduler, IReadOnlyList<int> timesteps)
         {
             // Image input, decode, add noise, return as latent 0
-            var imageTensor = prompt.InputImage.ToDenseTensor(new[] { 1, 3, options.Width, options.Height });
+            var imageTensor = prompt.InputImage.ToDenseTensor(new[] { 1, 3, options.Height, options.Width });
             var inputNames = _onnxModelService.GetInputNames(model, OnnxModelType.VaeEncoder);
             var inputParameters = CreateInputParameters(NamedOnnxValue.CreateFromTensor(inputNames[0], imageTensor));
             using (var inferResult = _onnxModelService.RunInference(model, OnnxModelType.VaeEncoder, inputParameters))

OnnxStack.StableDiffusion/Diffusers/StableDiffusion/ImageDiffuser.cs

@@ -53,7 +53,7 @@ protected override IReadOnlyList<int> GetTimesteps(PromptOptions prompt, Schedul
         protected override DenseTensor<float> PrepareLatents(IModelOptions model, PromptOptions prompt, SchedulerOptions options, IScheduler scheduler, IReadOnlyList<int> timesteps)
         {
             // Image input, decode, add noise, return as latent 0
-            var imageTensor = prompt.InputImage.ToDenseTensor(new[] { 1, 3, options.Width, options.Height });
+            var imageTensor = prompt.InputImage.ToDenseTensor(new[] { 1, 3, options.Height, options.Width });
             var inputNames = _onnxModelService.GetInputNames(model, OnnxModelType.VaeEncoder);
             var inputParameters = CreateInputParameters(NamedOnnxValue.CreateFromTensor(inputNames[0], imageTensor));
             using (var inferResult = _onnxModelService.RunInference(model, OnnxModelType.VaeEncoder, inputParameters))

OnnxStack.StableDiffusion/Helpers/ImageHelpers.cs

@@ -260,7 +260,7 @@ private static DenseTensor<float> ProcessPixels(Image<Rgba32> image, ReadOnlySpa
             var width = dimensions[3];
             var height = dimensions[2];
             var channels = dimensions[1];
-            var imageArray = new DenseTensor<float>(new[] { 1, channels, width, height });
+            var imageArray = new DenseTensor<float>(new[] { 1, channels, height, width });
             image.ProcessPixelRows(img =>
             {
                 for (int x = 0; x < width; x++)

OnnxStack.UI/UserControls/ImageInputControl.xaml

@@ -19,7 +19,7 @@
 
     <Border DataContext="{Binding ElementName=UI}" BorderBrush="LightGray" BorderThickness="2" >
         <StackPanel Margin="2" >
-            <Canvas MinHeight="512" MinWidth="512" >
+            <Canvas Width="{Binding SchedulerOptions.Width}" Height="{Binding SchedulerOptions.Height}" MinHeight="512" MinWidth="512" ClipToBounds="True">
                 <Image Source="{Binding Result.Image, FallbackValue={StaticResource PlaceholderImage}, TargetNullValue={StaticResource PlaceholderImage}}" Width="{Binding SchedulerOptions.Width}" Height="{Binding SchedulerOptions.Height}" MinHeight="512" MinWidth="512">
                     <Image.ContextMenu>
                         <ContextMenu>