Update README.md

README.md

@@ -6,9 +6,8 @@ pipeline_tag: text-to-image
 library_name: diffusers
 libraries: ONNX
 ---
----
-pipeline_tag: text-to-image
----
+
+
 # black-forest-labs/FLUX.1-schnell - AMD Optimized ONNX
 
 ## Original Model
@@ -19,19 +18,37 @@ _io32: model input is fp32, model will convert the input to fp16, perform ops in
 
 _io16: model input is fp16, perform ops in fp16 and write the final result in fp16
 
-```csharp
+## Running
+
+### 1. Using Amuse GUI Application
+Use Amuse GUI application to run it: https://www.amuse-ai.com/
+
+
+### 2. C# Inference Demo
+https://github.com/TensorStack-AI/OnnxStack
+
+```
 // csharp example
 // Create Pipeline
-var pipeline = StableDiffusionPipeline.CreatePipeline("D:\\Models\\FLUX.1-schnell_io32_amdgpu");
+var pipeline = FluxPipeline.CreatePipeline("D:\\Models\\Flux.1-dev_amdgpu");
 // Prompt
 var promptOptions = new PromptOptions
 {
     Prompt = "a majestic Royal Bengal Tiger on the mountain top overlooking beatiful Lake Tahoe snowy mountains and deep blue lake, deep blue sky, ultra hd, 8k, photorealistic"
 };
+// Scheduler Options
+var schedulerOptions = pipeline.DefaultSchedulerOptions with
+{  
+    InferenceSteps = 50,
+    GuidanceScale = 3.5f,
+    SchedulerType = SchedulerType.FlowMatchEulerDiscrete,
+};
+
 // Run pipeline
 var result = await pipeline.GenerateImageAsync(promptOptions, schedulerOptions);
+
 // Save Image Result
-await result.SaveAsync("Result.png");
-```
+await result.SaveAsync("sample.png");
+
 ## Inference Result
 ![Intro Image](sample.png)