Total runs:
1.1M
Run Growth:
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Growth Rate:
6.25%
Sponsored by
APIMart
litert-community / DIS-ISNet-LiteRT
Model's Last Updated: September 08 2026
image-segmentation
Introduction of DIS-ISNet-LiteRT
Model Details of DIS-ISNet-LiteRT
DIS (IS-Net, general-use) — High-precision object cutout (LiteRT GPU)
On-device
dichotomous image segmentation
running
fully on the LiteRT
CompiledModel
GPU
delegate (no CPU fallback).
DIS
(ECCV 2022) is a
high-accuracy IS-Net that cuts out the main object with
fine structure detail
(thin
stems, petals, wires, handles) — for e-commerce product photos and graphics. ~11 ms/frame
on a Pixel 8a.
- Architecture: IS-Net (RSU / U²-Net-style nested residual blocks) — pure CNN.
-
Weights:
xuebinqin/DIS
isnet-general-use· Apache-2.0. - Size: 176 MB.
Input (left) → high-precision alpha cut-out on transparency (right). Photo: Unsplash (free license).
I/O
-
Input:
[1, 3, 1024, 1024]NCHW, RGB,x/255 - 0.5. -
Output:
[1, 1, 1024, 1024]sigmoid mask (0–1) — resize to the image, use as alpha.
GPU conversion
DIS is a pure CNN (IS-Net RSU blocks). It converts fully GPU-compatible (
247/247 nodes
on the delegate, 1 partition
; device max|diff| 0.00034, ~11 ms) with
one defensive
patch
:
align_corners=True
→
False
on the bilinear upsamples. CPU-exact vs PyTorch
(max|diff| 0.0).
Minimal usage
Kotlin (Android, LiteRT CompiledModel GPU)
val options = CompiledModel.Options(Accelerator.GPU)
val model = CompiledModel.create(context.assets, "dis.tflite", options, null)
val inBufs = model.createInputBuffers()
val outBufs = model.createOutputBuffers()
inBufs[0].writeFloat(inputNCHW) // [1,3,1024,1024] RGB, x/255 - 0.5
model.run(inBufs, outBufs)
val mask = outBufs[0].readFloat() // [1024*1024] alpha (0..1); resize -> composite
Python (LiteRT / ai-edge-litert)
import numpy as np
from ai_edge_litert.interpreter import Interpreter
it = Interpreter(model_path="dis.tflite"); it.allocate_tensors()
inp, out = it.get_input_details(), it.get_output_details()
it.set_tensor(inp[0]["index"], x) # [1,3,1024,1024] float32, RGB, x/255 - 0.5
it.invoke()
mask = it.get_tensor(out[0]["index"])[0, 0] # [1024,1024] alpha 0..1
Conversion
Converted with
litert-torch
(
build_dis.py
): loads the Apache-2.0 IS-Net general-use
weights and exports the main mask.
License
Apache-2.0 (DIS / xuebinqin). IS-Net architecture.
Runs of litert-community DIS-ISNet-LiteRT on huggingface.co
174
Total runs
0
24-hour runs
0
3-day runs
5
7-day runs
54
30-day runs
More Information About DIS-ISNet-LiteRT huggingface.co Model
Url of DIS-ISNet-LiteRT
DIS-ISNet-LiteRT huggingface.co Url
Provider of DIS-ISNet-LiteRT huggingface.co
Other API from litert-community
Updated:August 31 2026
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