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output
[1, 3, H, W]
, RGB in
[0, 1]
, the whole frame with the hole filled
H = W = 256
or
512
. Cropping around the hole and blending the result back
into the full-resolution photo happen outside the model, as in upstream's
scripts/create_onnx_pipeline.py
.
config.json 27 B
coreml/256/config.json 1171 B
coreml/256/migan_256_coreml_fp16.pte 12.8 MB
coreml/512/config.json 1171 B
coreml/512/migan_512_coreml_fp16.pte 14.0 MB
coreml/faces_256/config.json 1177 B
coreml/faces_256/migan_faces_256_coreml_fp16.pte 12.8 MB
vulkan/256/config.json 1171 B
vulkan/256/migan_256_vulkan_fp16.pte 12.4 MB
vulkan/512/config.json 1171 B
vulkan/512/migan_512_vulkan_fp16.pte 14.1 MB
vulkan/faces_256/config.json 1177 B
vulkan/faces_256/migan_faces_256_vulkan_fp16.pte 12.4 MB
xnnpack/256/config.json 1173 B
xnnpack/256/migan_256_xnnpack_fp16.pte 24.0 MB
xnnpack/512/config.json 1173 B
xnnpack/512/migan_512_xnnpack_fp16.pte 25.2 MB
xnnpack/faces_256/config.json 1179 B
xnnpack/faces_256/migan_faces_256_xnnpack_fp16.pte 24.0 MB
Compatibility
These files are published for the
ExecuTorch v1.4.1
runtime. The XNNPACK
and Vulkan files need the React Native ExecuTorch native libraries
v0.10.7-libs
or newer. ExecuTorch gives no forward compatibility guarantee,
so an older runtime may fail to load them.
For React Native ExecuTorch model loading, see the
documentation
.
To load these files in your own runtime, read the
compatibility note
first.
Runs of software-mansion react-native-executorch-migan on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About react-native-executorch-migan huggingface.co Model
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