image-studio-models / README.md
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Add RVM alpha with lightweight guided restoration and GPL source notices
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---
language:
- en
license: other
license_name: mixed-upstream-licenses
license_link: https://huggingface.co/otama3/image-studio-models/blob/main/LICENSES.md
tags: [onnx, image-matting, webgpu, wasm]
base_model:
- ZhengPeng7/BiRefNet_HR-matting
- hustvl/vitmatte-base-distinctions-646
- Xenova/modnet
---
# Image Studio browser model resources
Browser-oriented model/runtime resources for Image Studio app 1.1.2. Photos are
processed locally in the user's browser; this repository does not receive photos
or provide inference. These are application-specific packs, not a generic
Transformers model loading layout.
## Four explicit choices
- MODNet CPU and GPU share the same unchanged FP32 model.
- HR + ViTMatte GPU uses the fixed HR graph stages and three-phase full-key row8
Loop MultiHeadAttention ViTMatte refinement, with CPU-owned phase seams.
- HR + ViTMatte CPU uses the recorded HR stages and separate three-phase
query-chunked ViTMatte derivative. CPU/GPU stage catalogs are not interchangeable.
The five ZIP_STORED packs preserve exact bytes, stream through the existing
verified cache importer and avoid whole-archive RAM expansion. Every declared
entry and transport has a byte count and SHA-256. MODNet transport is shared.
The CPU high-quality route is slow and memory intensive. No silent quality/model
fallback is provided. Interrupted downloads may require downloading a full pack
again; Hub service/rate limits and cache eviction can affect availability.
## Licenses and source
Model weights, model code, ONNX Runtime and its third-party components retain
their own licenses. The app's MIT does not relicense them. LICENSES.md and all
original license/notice texts remain included. Source06 model-transform sources
retain the Swin MIT supplement and exclude the unused deployment adapter.
SOURCE_AVAILABILITY.md provides the fixed Eigen source/patches and source offer.
Historical review JSON records upstream export evidence, not current release
bindings or a claim of independent native/compiler rebuild.
## Immutable release identity
APP_RELEASE_PAIRING.json is the release index. REPLAY.md gives the canonical
web/background-release placement. MODEL_FILES.json identifies the selected five
packs and all entries. App version and model graph identity are separate. The
index's review sourceId identifies its input review; later app-only updates bind
their own Git commit/build-info/inventory while retaining this immutable input.
Never put credentials in browser code or replace fixed resource URLs with main.
Source/model/runtime revision: 3888c6cf29bacaf2ec5a1d7ce4e5ad1ab1109823.
App source: https://huggingface.co/otama3/image-studio-models/resolve/3888c6cf29bacaf2ec5a1d7ce4e5ad1ab1109823/releases/app-1.1.2-01791fc98d226aef/source/app-source.tar.gz
Source SHA-256: 01791fc98d226aef1fa69b64815bfdf42c05e8a7d4b33d20bee2beeed3d4074c.
Input: releases/app-1.1.2-input-297572aaed26f8b9/build-input.tar.gz at the SAME immutable revision as this release index.
Input review sourceId: sha256:661dc1d2122f4bbd5730124e27fd771d1379e17690668f1f9ff3d3d7903453be.
## Validation scope
Local strict build and distribution inventory identify this artifact. Existing synthetic-portrait/cancellation/cache evidence is bounded, not general quality, mobile-device or physical-print certification. Saved outputs should be inspected. Anonymous Hub delivery, Pages delivery and actual-device checks are recorded separately. No complete offline startup, service warranty or automatic compliance with identity-photo rules is promised.
This repository has clean file-only history under otama3. The old otama repositories are retained separately and are not active source download dependencies.
## RVM lightweight portrait matting
[RVM alpha-only + scalar guided reconstruction](models/rvm-alpha-fgf-e75bfaf9-82cd26c5-v1/README.md) is provided separately with upstream GPL-3.0 code/license notices, artifact changes and corresponding source. Application MIT licensing does not replace model terms; see the bundle card for the pretrained-model license clarification.