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@@ -6,9 +6,7 @@ pipeline_tag: text-to-image
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  library_name: diffusers
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  libraries: ONNX
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  ---
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- ---
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- pipeline_tag: text-to-image
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- ---
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  # black-forest-labs/FLUX.1-schnell - AMD Optimized ONNX
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  ## Original Model
@@ -19,17 +17,35 @@ _io32: model input is fp32, model will convert the input to fp16, perform ops in
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  _io16: model input is fp16, perform ops in fp16 and write the final result in fp16
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- ```csharp
 
 
 
 
 
 
 
 
 
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  // csharp example
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  // Create Pipeline
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- var pipeline = StableDiffusionPipeline.CreatePipeline("D:\\Models\\FLUX.1-schnell_io32_amdgpu");
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  // Prompt
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  var promptOptions = new PromptOptions
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  {
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  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"
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  };
 
 
 
 
 
 
 
 
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  // Run pipeline
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  var result = await pipeline.GenerateImageAsync(promptOptions, schedulerOptions);
 
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  // Save Image Result
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  await result.SaveAsync("Result.png");
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  ```
 
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  library_name: diffusers
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  libraries: ONNX
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  ---
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+
 
 
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  # black-forest-labs/FLUX.1-schnell - AMD Optimized ONNX
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  ## Original Model
 
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  _io16: model input is fp16, perform ops in fp16 and write the final result in fp16
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+ ## Running
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+
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+ ### 1. Using Amuse GUI Application
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+ Use Amuse GUI application to run it: https://www.amuse-ai.com/
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+
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+
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+ ### 2. C# Inference Demo
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+ https://github.com/TensorStack-AI/OnnxStack
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+
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+ ```
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  // csharp example
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  // Create Pipeline
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+ var pipeline = FluxPipeline.CreatePipeline("D:\\Models\\Flux.1-schnell_amdgpu");
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  // Prompt
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  var promptOptions = new PromptOptions
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  {
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  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"
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  };
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+ // Scheduler Options
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+ var schedulerOptions = pipeline.DefaultSchedulerOptions with
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+ {
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+ InferenceSteps = 4,
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+ GuidanceScale = 1.0f,
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+ SchedulerType = SchedulerType.FlowMatchEulerDiscrete,
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+ };
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+
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  // Run pipeline
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  var result = await pipeline.GenerateImageAsync(promptOptions, schedulerOptions);
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+
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  // Save Image Result
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  await result.SaveAsync("Result.png");
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  ```