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README.md
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library_name: diffusers
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libraries: ONNX
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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
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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 example
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// Create Pipeline
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var pipeline =
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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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# 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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### 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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### 2. C# Inference Demo
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https://github.com/TensorStack-AI/OnnxStack
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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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// 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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