{
    "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": [
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      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/README.md"
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    "PreviewImages": [
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      "https://huggingface.co/TensorStack/FLUX.1-Kontext-amuse/resolve/main/Sample2.png",
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    "Tags": []
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