StreamRGBD-mac CoreML Models
Pre-converted CoreML .mlpackage models used by the StreamRGBD-mac project.
Mirrors: Hugging Face Β· ModelScope
The repository code is released under the MIT License. Converted model artifacts retain the licenses of their respective original weights (see table below).
Models
Depth Estimation (Depth Anything V2 / V3)
| File | Source | License |
|---|---|---|
da2_small.mlpackage |
depth-anything/Depth-Anything-V2-Small-hf | Apache-2.0 |
da2_base.mlpackage |
depth-anything/Depth-Anything-V2-Base-hf | Apache-2.0 |
da2_large.mlpackage |
depth-anything/Depth-Anything-V2-Large-hf | Apache-2.0 |
da3_small.mlpackage |
depth-anything/DA3-SMALL | Apache-2.0 |
da3_base.mlpackage |
depth-anything/DA3-BASE | Apache-2.0 |
da3_large.mlpackage |
depth-anything/DA3-LARGE | Apache-2.0 |
Image Generation (UNet)
| File | Source | License |
|---|---|---|
unet_sdxs_512.mlpackage |
IDKiro/sdxs-512-0.9 | Apache-2.0 |
unet_sdxs_768.mlpackage |
IDKiro/sdxs-512-0.9 | Apache-2.0 |
unet_sd_1_5.mlpackage |
runwayml/stable-diffusion-v1-5 | CreativeML Open RAIL-M |
TinyVAE (Encoder / Decoder)
| File | Source | License |
|---|---|---|
taesd_encoder_512.mlpackage |
madebyollin/taesd | Apache-2.0 |
taesd_encoder_768.mlpackage |
madebyollin/taesd | Apache-2.0 |
taesd_decoder.mlpackage |
madebyollin/taesd | Apache-2.0 |
taesd_decoder_768.mlpackage |
madebyollin/taesd | Apache-2.0 |
Conversion Details
- Depth models are converted to CoreML with input resolution
504x504. - UNet models are converted at their respective render resolutions (
512x512/768x768). - VAE encoder/decoder models are converted at matching resolutions.
Usage
Clone or download this repo and point your StreamRGBD-mac configuration at the coreml_models folder, or set --coreml-dir to the downloaded path.
# Hugging Face
hf download Jup33QE/streamrgbd-mac-coreml --local-dir coreml_models
# ModelScope (ε½ε
ιε)
modelscope download --model Jup33Q/streamrgbd-mac-coreml --local_dir coreml_models
Disclaimer
These are converted artifacts derived from the original model weights listed above. Please refer to the original repositories for exact license terms and citation requirements.
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