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
Download validation.json from gatilin/lance_wan22_vae: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/gatilin/lance_wan22_vae/resolve/main/validation.json
- Command line
-
hf download hf://gatilin/lance_wan22_vae/validation.json
-
curl -L -o validation.json https://huggingface.co/gatilin/lance_wan22_vae/resolve/main/validation.json
1.08 kB
| { | |
| "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." | |
| ] | |
| } | |