Upload 23 files

.gitattributes

@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Sample.png filter=lfs diff=lfs merge=lfs -text
+Sample2.png filter=lfs diff=lfs merge=lfs -text
+Sample3.png filter=lfs diff=lfs merge=lfs -text
+Sample4.png filter=lfs diff=lfs merge=lfs -text
+text_encoder_2/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+text_encoder/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+transformer/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+vae_decoder/model.onnx.data filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,38 @@
+---
+pipeline_tag: image-to-image
+---
+# FLUX.1-Kontext - Onnx Olive DirectML Optimized 
+
+## Original Model
+https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev
+
+
+## C# Inference Demo
+https://github.com/TensorStack-AI/OnnxStack
+
+```csharp
+// Create Pipeline
+var pipeline = FluxPipeline.CreatePipeline("D:\\Models\\FLUX.1-Kontext-amuse", ModelType.Instruct);
+
+// Prompt
+var promptOptions = new PromptOptions
+{
+    Prompt = "Add sunglasses and a hat to the woman"
+};
+
+// Scheduler Options
+var schedulerOptions = pipeline.DefaultSchedulerOptions with
+{  
+    InferenceSteps = 28,
+    GuidanceScale = 2.5f,
+    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)

amuse_template.json

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+{
+    "Id": "B839B0CA-97B8-4603-9097-0BC641EDE391",
+    "FileVersion": "1",
+    "Created": "2025-03-07T00:00:00",
+    "IsProtected": false,
+    "Name": "FLUX.1-Kontext",
+    "ImageIcon": "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Icon.png",
+    "Author": "BlackForestLabs",
+    "Description": "FLUX.1 [Kontext] is a 12-billion parameter rectified flow transformer designed to generate detailed and high-quality images directly from text descriptions. This model offers impressive capabilities in transforming prompts into vivid and accurate visual representations.",
+    "Rank": 30,
+    "Group": "Online",
+    "Template": "FluxKontext",
+    "Category": "StableDiffusion",
+    "StableDiffusionTemplate": {
+      "PipelineType": "Flux",
+      "ModelType": "Instruct",
+      "SampleSize": 1024,
+      "TokenizerLength": 768,
+      "Tokenizer2Limit": 512,
+      "Optimization": "None",
+      "DiffuserTypes": [
+        "ImageToImage"
+      ],
+      "SchedulerDefaults": {
+        "SchedulerType": "FlowMatchEulerDiscrete",
+        "Steps": 28,
+        "StepsMin": 1,
+        "StepsMax": 100,
+        "Guidance": 1,
+        "GuidanceMin": 1,
+        "GuidanceMax": 1,
+        "Guidance2": 3.5,
+        "Guidance2Min": 0,
+        "Guidance2Max": 15,
+        "TimestepSpacing": "Linspace",
+        "BetaSchedule": "ScaledLinear",
+        "BetaStart": 0.00085,
+        "BetaEnd": 0.012
+      }
+    },
+    "MemoryMin": 41,
+    "MemoryMax": 52,
+    "DownloadSize": 34,
+    "Website": "https://blackforestlabs.ai",
+    "Licence": "https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-kontext",
+    "LicenceType": "NonCommercial",
+    "IsLicenceAccepted": false,
+    "Repository": "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse",
+    "RepositoryFiles": [
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/text_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/text_encoder_2/model.onnx",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/text_encoder_2/model.onnx.data",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer/merges.txt",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer/vocab.json",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer_2/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer_2/spiece.model",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/tokenizer_2/tokenizer.json",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/transformer/model.onnx",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/transformer/model.onnx.data",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/vae_decoder/model.onnx",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/vae_decoder/model.onnx.data",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/vae_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/vae_encoder/model.onnx.data",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/amuse_template.json",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/README.md"
+    ],
+    "PreviewImages": [
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Sample.png",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Sample2.png",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Sample3.png",
+      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Sample4.png"
+    ],
+    "Tags": []
+  }

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