Instructions to use AlayaLab/KaiNinja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use AlayaLab/KaiNinja with Trellis:
# 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 stage2_slat_flow.json from AlayaLab/KaiNinja: direct link, hf CLI and curl.
- Browser
- Download file 476 Bytes
-
https://huggingface.co/AlayaLab/KaiNinja/resolve/main/stage2_slat_flow.json
- Command line
-
hf download hf://AlayaLab/KaiNinja/stage2_slat_flow.json
-
curl -L -o stage2_slat_flow.json https://huggingface.co/AlayaLab/KaiNinja/resolve/main/stage2_slat_flow.json
476 Bytes
| { | |
| "name": "TriSLatSeparateFlowModel", | |
| "args": { | |
| "resolution": 32, | |
| "in_channels": 32, | |
| "out_channels": 32, | |
| "model_channels": 1536, | |
| "cond_channels": 1024, | |
| "num_blocks": 30, | |
| "num_heads": 12, | |
| "mlp_ratio": 5.3334, | |
| "share_mod": true, | |
| "qk_rms_norm": true, | |
| "qk_rms_norm_cross": true, | |
| "global_attn_at": [ | |
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| ], | |
| "num_streams": 2 | |
| } | |
| } |