Create README.md

README.md

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+---
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+base_model:
+- black-forest-labs/FLUX.1-dev
+pipeline_tag: text-to-image
+library_name: diffusers
+---
+
+# black-forest-labs/FLUX.1-dev - AMD Optimized ONNX
+
+## Original Model
+https://huggingface.co/black-forest-labs/FLUX.1-dev
+
+## _io32/16
+_io32: model input is fp32, model will convert the input to fp16, perform ops in fp16 and write the final result in fp32
+
+_io16: model input is fp16, perform ops in fp16 and write the final result in fp16
+
+## Running
+
+### 1. Using Amuse GUI Application
+
+Use Amuse GUI application to run it: https://www.amuse-ai.com/
+
+use _io32 model to run with Amuse application
+
+### 2. Inference Demo
+
+https://github.com/TensorStack-AI/OnnxStack
+
+```
+// csharp example
+// Create Pipeline
+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");
+```
+
+## Inference Result
+![Intro Image](sample.png)