Self-hosted Swin2SR model
Swin2SR Classical 4x
The highest-detail 4x choice for clean AI images, renders, scans, and source photos without heavy compression noise.
Model specifications
- Scale factor
- 4x
- Precision
- q8
- Parameters
- 12.2M · q8
- Exact size
- 21,622,515 bytes
- Best for
- Clean-source 4x fidelity
- License
- Apache-2.0
SHA-256
b4ad39342ee90fe3b4903a1d4152fe2d8d5fa0dcc877b69e1367a2e8ad4fc8e9 Model architecture and pretrained weights are attributed to caidas/swin2SR-classical-sr-x4-64. The ONNX conversion is hosted at Xenova/swin2SR-classical-sr-x4-64. Distributed under the Apache-2.0 license.
Use the self-hosted file
This is the same same-origin asset requested by WKO AI's studio. Remote model fallback is disabled, so a missing mirror fails explicitly.
import { env, pipeline } from '@huggingface/transformers';
env.allowLocalModels = true;
env.allowRemoteModels = false;
env.localModelPath = '/models/';
const upscale = await pipeline(
'image-to-image',
'Xenova/swin2SR-classical-sr-x4-64',
{ dtype: 'q8' }
);
const output = await upscale(image);