Image Segmentation
Transformers.js
ONNX
SegformerForSemanticSegmentation
background-removal
custom_code
Instructions to use vongocanhthi/acut-rmbg-1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use vongocanhthi/acut-rmbg-1.4 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'vongocanhthi/acut-rmbg-1.4');
ACut mirror: RMBG-1.4 (web / Transformers.js)
Stable CDN mirror of briaai/RMBG-1.4 for the ACut web/desktop editor (pipeline("background-removal")).
Try it on ACut
Free, private background removal in the browser — no upload to ACut servers:
→ Remove Image Background on ACut
Product: https://www.acutapp.com
Contents
Web runtime files only (ONNX + configs):
config.json,preprocessor_config.jsononnx/model_quantized.onnx(q8 — default)onnx/model_fp16.onnx(optional fp16 fallback)onnx/quantize_config.json
PyTorch weights are omitted on purpose (not used by the browser path).
License / attribution
Weights and model IP remain BRIA AI / RMBG-1.4. Use is subject to BRIA’s terms on the upstream card. This repo is a hosting mirror for ACut reliability — not a relicense.
Upstream: https://huggingface.co/briaai/RMBG-1.4
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Model tree for vongocanhthi/acut-rmbg-1.4
Base model
briaai/RMBG-1.4