StreamRGBD-mac CoreML Models
Pre-converted CoreML .mlpackage models used by the StreamRGBD-mac project.
Mirrors: Hugging Face · 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 (国内镜像)
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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