Instructions to use gatilin/lance_wan22_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use gatilin/lance_wan22_vae with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,084 Bytes
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"strict_load": true,
"source_tensor_bytes_equal": true,
"checks": [
{
"name": "native_strict_load",
"passed": true,
"tensors": 196
},
{
"name": "source_file_sha256",
"passed": true
},
{
"name": "encode_minimal_video",
"passed": true,
"input": [
1,
3,
1,
16,
16
],
"latent": [
1,
48,
1,
1,
1
]
},
{
"name": "decode_minimal_video",
"passed": true,
"reconstruction": [
1,
3,
1,
16,
16
]
},
{
"name": "finite_native_outputs",
"passed": true
}
],
"smoke": {
"passed": true,
"device": "cpu",
"dtype": "float32"
},
"elapsed_seconds": 8.125485791999381,
"limitations": [
"Native component boundary test only; the Lance MoT backbone and diffusion flow modules are excluded.",
"The minimal CPU tensor verifies shape and finite outputs, not visual quality or long-video temporal quality."
]
}
|