| | ---
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| | pipeline_tag: text-to-image
|
| | ---
|
| | # Z-Image-Turbo
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| | Original: https://huggingface.co/Tongyi-MAI/Z-Image-Turbo
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| |
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| | Model repository for `TensorStack` library and the windows `Diffuse` application <br />
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| | `Diffuse App`: Coming Soon!<br />
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| | `TensorStack`: https://github.com/TensorStack-AI/TensorStack<br />
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| |
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| | ## C# Inference Demo
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| | ```csharp
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| | // Pipeline Config
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| | var pipelineConfig = new PipelineConfig
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| | {
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| | Path = "TensorStack/Z-Image-Turbo-ts",
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| | Pipeline = "ZImagePipeline",
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| | ProcessType = ProcessType.TextToImage,
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| | IsFullOffloadEnabled = true,
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| | DataType = DataType.Bfloat16
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| | };
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| |
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| | // Create Pipeline
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| | using (var pythonPipeline = new PythonPipeline(pipelineConfig))
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| | {
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| | // Download/Load Model
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| | await pythonPipeline.LoadAsync();
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| |
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| | // Generate Option
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| | var options = new PipelineOptions
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| | {
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| | Prompt = "Cute doggo riding a bicycle",
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| | Steps = 10,
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| | Width = 1024,
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| | Height = 1024,
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| | GuidanceScale = 0f,
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| | Scheduler = SchedulerType.FlowMatchEulerDiscrete
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| | };
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| |
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| | // Generate
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| | var response = await pythonPipeline.GenerateAsync(options);
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| |
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| | // Save Image
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| | await response
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| | .AsImageTensor()
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| | .SaveAsync("Result.png");
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| | }
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| | ``` |