trellis-webgpu
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Publish model weights

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  1. .gitattributes +1 -0
  2. LICENSES.md +10 -0
  3. NOTICE +4 -0
  4. README.md +16 -0
  5. SHA256SUMS +66 -0
  6. catalog.json +13 -0
  7. config.json +4 -0
  8. image-large/imageEncoder/manifest.json +0 -0
  9. image-large/imageEncoder/stage-000.bin +3 -0
  10. image-large/imageEncoder/stage-001.bin +3 -0
  11. image-large/imageEncoder/stage-002.bin +3 -0
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  17. image-large/model.json +23 -0
  18. image-large/sparseStructureFlow/manifest.json +0 -0
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  33. image-large/structuredLatentFlow/manifest.json +0 -0
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  42. image-large/structuredLatentFlow/stage-008.bin +3 -0
  43. licenses/CLIP +21 -0
  44. licenses/DINOV2 +176 -0
  45. licenses/TRELLIS +21 -0
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  47. shared/gaussianDecoder/stage-000.bin +3 -0
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  49. shared/meshDecoder/stage-000.bin +3 -0
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.gitattributes ADDED
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+ *.bin filter=lfs diff=lfs merge=lfs -text
LICENSES.md ADDED
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+ # Model licenses
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+
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+ - `image-large/imageEncoder/` derives from
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+ `facebook/dinov2-with-registers-large` under Apache-2.0 (`licenses/DINOV2`).
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+ - The remaining `image-large/` files and `shared/` derive from
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+ `microsoft/TRELLIS-image-large` under MIT (`licenses/TRELLIS`).
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+ - `text-base/textEncoder/` and `text-base/tokenizer.json` derive from
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+ `openai/clip-vit-large-patch14` under MIT (`licenses/CLIP`).
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+ - The remaining `text-base/` files derive from
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+ `microsoft/TRELLIS-text-base` under MIT (`licenses/TRELLIS`).
NOTICE ADDED
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+ This repository contains quantized derivative model files from Microsoft
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+ TRELLIS image-large and text-base, Meta DINOv2 with registers, and OpenAI CLIP
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+ ViT-L/14. The derivative files were prepared by Needle Tools GmbH. No training
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+ data is included.
README.md ADDED
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+ ---
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+ license: other
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+ license_name: mit-and-apache-2.0
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+ license_link: https://huggingface.co/needle-tools/TRELLIS-webgpu/blob/main/LICENSES.md
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+ base_model:
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+ - microsoft/TRELLIS-image-large
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+ - microsoft/TRELLIS-text-base
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+ - facebook/dinov2-with-registers-large
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+ - openai/clip-vit-large-patch14
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+ ---
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+
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+ # TRELLIS WebGPU weights
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+
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+ Quantized derivative weights for image- and text-conditioned TRELLIS
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+ inference. `catalog.json` lists the available model variants and shared
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+ decoders. See `LICENSES.md` for provenance and license details.
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