model_template.json

{
  "Id": "AB13DC2A-7F4E-43B1-9BA3-85039D544D18",
  "FileVersion": "1",
  "Created": "2024-06-17T00:00:00",
  "Name": "Fluently v4 LCM",
  "ImageIcon": "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/Icon.png",
  "Author": "fluently",
  "Description": "Latent Consistency Model - This model combines multiple checkpoints and various LoRAs to deliver exceptional results. It focuses on producing high-quality eye rendering and correct anatomical details, while simplifying prompts for better outcomes. The model generates beautifully detailed faces and eyes without additional tools, and activates stunning artistic effects when needed. It excels at inpainting and outpainting, and is particularly adept at creating impressive Anime and Comic Book art.",
  "Rank": 300,
  "Group": "Online",
  "Template": "LCM",
  "Category": "StableDiffusion",
  "StableDiffusionTemplate": {
    "PipelineType": "LatentConsistency",
    "ModelType": "Base",
    "SampleSize": 512,
    "TokenizerLength": 768,
    "DiffuserTypes": [
      "TextToImage",
      "ImageToImage",
      "ImageInpaintLegacy",
      "ControlNet",
      "ControlNetImage"
    ],
    "SchedulerDefaults": {
      "SchedulerType": "LCM",
      "Steps": 6,
      "StepsMin": 1,
      "StepsMax": 100,
      "Guidance": 1,
      "GuidanceMin": 0,
      "GuidanceMax": 2,
      "TimestepSpacing": "Linspace",
      "BetaSchedule": "ScaledLinear",
      "BetaStart": 0.00085,
      "BetaEnd": 0.01,
      "DisableNegativePrompt": true
    }
  },
  "Precision": "F16",
  "MemoryMin": 2.1,
  "MemoryMax": 4.6,
  "DownloadSize": 4.2,
  "Website": "https://huggingface.co/fluently/Fluently-v4-LCM",
  "Repository": "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx",
  "RepositoryFiles": [
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/controlnet/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/controlnet/config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/scheduler/scheduler_config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/text_encoder/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/text_encoder/config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/tokenizer/merges.txt",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/tokenizer/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/tokenizer/special_tokens_map.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/tokenizer/tokenizer_config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/tokenizer/vocab.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/unet/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/unet/config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/vae_decoder/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/vae_decoder/config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/vae_encoder/model.onnx",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/vae_encoder/config.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/model_index.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/model_template.json",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/README.md"
  ],
  "PreviewImages": [
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/Sample.png",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/Sample2.png",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/Sample3.png",
    "https://huggingface.co/TensorStack/Fluently-v4-LCM-onnx/resolve/main/Sample4.png"
  ],
  "Tags": [
    "GPU",
    "F16"
  ]
}