File size: 1,883 Bytes
b821a78
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
{
    "Id": "A0BBB1C2-0919-42A8-BE37-F6F74D820028",
    "FileVersion": "1",
    "Created": "2025-03-05T00:00:00",
    "IsProtected": true,
    "Name": "Normal",
    "ImageIcon": "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/Icon.png",
    "Author": "lllyasviel",
    "Description": "Control Stable Diffusion with Normal Maps, Acceptable Preprocessors: Normal BAE. This model can accept normal maps from rendering engines as long as the normal map follows ScanNet's protocol",
    "Rank": 101,
    "Group": "Online",
    "Template": "ControlNet",
    "Category": "ControlNet",
    "ControlNetTemplate": {
        "PipelineTypes": [
            "StableDiffusion",
            "LatentConsistency",
            "Locomotion"
        ]
    },
    "MemoryMin": 0,
    "MemoryMax": 1,
    "DownloadSize": 0.8,
    "Website": "https://github.com/lllyasviel/ControlNet",
    "Licence": "https://github.com/lllyasviel/ControlNet/blob/main/LICENSE",
    "LicenceType": "NonCommercial",
    "IsLicenceAccepted": false,
    "Repository": "https://huggingface.co/TensorStack/ControlNet-amuse/",
    "RepositoryFiles": [
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/README.md",
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/model.onnx"
    ],
    "PreviewImages": [
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/Sample.png",
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/Sample2.png",
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/Sample3.png",
        "https://huggingface.co/TensorStack/ControlNet-amuse/resolve/main/StableDiffusion/Normal/Sample4.png"
    ],
    "Tags": [
    ]
}