Instructions to use androidli/colorpicker-matting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use androidli/colorpicker-matting with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'androidli/colorpicker-matting');
MODNet · INT8 ONNX (portrait matting)
INT8 (q8) ONNX export of the MODNet portrait-matting model (via the
Xenova/modnet transformers.js port of
ZHKKKe/MODNet). 6.6 MB, runs fully client-side —
used for subject cut-outs in toolve colour tools.
Files
| File | Size | Notes |
|---|---|---|
onnx/model_quantized.onnx |
6.6 MB | INT8-quantized, 512 px shortest edge |
config.json |
— | model_type: modnet, transformers.js_config.dtype: q8 |
preprocessor_config.json |
— | resize to shortest edge 512, divisible by 32, normalize 0.5/0.5 |
manifest.json |
— | sha256 + size of every file |
Usage (transformers.js)
import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
const model = await AutoModel.from_pretrained('androidli/colorpicker-matting', { quantized: true });
const processor = await AutoProcessor.from_pretrained('androidli/colorpicker-matting');
const { alphas } = await model(await processor(await RawImage.fromURL(imageUrl)));
License
Inherited from upstream: Apache-2.0 (MODNet).
- Downloads last month
- 24
Model tree for androidli/colorpicker-matting
Base model
Xenova/modnet