amuse_template.json

{
  "Id": "EBAC0FD1-1A72-48B0-AAD1-988E59492599",
  "FileVersion": "1",
  "Created": "2025-03-08T00:00:00",
  "IsProtected": false,
  "Name": "AIrtist Photo Realistic",
  "ImageIcon": "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/Icon.png",
  "Author": "CAIrtist",
  "Description": "Unleash your imagination effortlessly with Airtist Photo MAL Realistic! Tailored for low-spec systems, this model empowers you to effortlessly create photorealistic images from your mind\u0027s eye. Bypass hardware limitations and dive into a world where your ideas manifest as stunning visual realities. Seamlessly craft lifelike scenes and explore boundless creativity without constraints. Airtist Photo MAL Realistic invites you to unleash your imagination like never before, regardless of your computer\u0027s specs.",
  "Rank": 4000,
  "Group": "Online",
  "Template": "SD",
  "Category": "StableDiffusion",
  "StableDiffusionTemplate": {
    "PipelineType": "StableDiffusion",
    "ModelType": "Base",
    "SampleSize": 512,
    "TokenizerLength": 768,
    "Tokenizer2Limit": 77,
    "DiffuserTypes": [
      "TextToImage",
      "ImageToImage",
      "ImageInpaintLegacy",
      "ControlNet",
      "ControlNetImage"
    ],
    "SchedulerDefaults": {
      "SchedulerType": "EulerAncestral",
      "Steps": 30,
      "StepsMin": 4,
      "StepsMax": 100,
      "Guidance": 3,
      "GuidanceMin": 0,
      "GuidanceMax": 20,
      "TimestepSpacing": "Linspace",
      "BetaSchedule": "ScaledLinear",
      "BetaStart": 0.00085,
      "BetaEnd": 0.012
    }
  },
  "MemoryMin": 0,
  "MemoryMax": 4.6,
  "DownloadSize": 4.2,
  "Website": "https://civitai.com/models/229332/airtist-photo-mal-realistic",
  "Licence": "https://huggingface.co/spaces/CompVis/stable-diffusion-license",
  "LicenceType": "NonCommercial",
  "IsLicenceAccepted": false,
  "Repository": "https://huggingface.co/TensorStack/AirtistPhoto-amuse",
  "RepositoryFiles": [
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/controlnet/model.onnx",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/text_encoder/model.onnx",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/tokenizer/merges.txt",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/tokenizer/special_tokens_map.json",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/tokenizer/vocab.json",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/unet/model.onnx",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/vae_decoder/model.onnx",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/vae_encoder/model.onnx",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/amuse_template.json",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/README.md"
  ],
  "PreviewImages": [
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/Sample.png",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/Sample2.png",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/Sample3.png",
    "https://huggingface.co/TensorStack/AirtistPhoto-amuse/resolve/main/Sample4.png"
  ],
  "Tags": []
}