Instructions to use Qtn-Cls/LocalMeshEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use Qtn-Cls/LocalMeshEngine 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
add forme_512_mv_fp8.json
Browse files- forme_512_mv_fp8.json +21 -0
forme_512_mv_fp8.json
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{
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"name": "SLatFlowModel",
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"args": {
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"resolution": 32,
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"in_channels": 32,
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"out_channels": 32,
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"model_channels": 1536,
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"cond_channels": 1024,
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"num_blocks": 30,
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"num_heads": 12,
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"mlp_ratio": 5.3334,
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"pe_mode": "rope",
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"share_mod": true,
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"initialization": "scaled",
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"qk_rms_norm": true,
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"qk_rms_norm_cross": true,
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"image_attn_mode": "proj",
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"proj_in_channels": 2048,
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"dtype": "float8_e4m3fn"
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}
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}
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