Files
remove-ai-watermarks/packaging/conda/recipe.yaml
T
Victor Kuznetsov c3ddf8a801 docs: document Homebrew, conda-forge, and ComfyUI distribution channels
- README: add Homebrew install, conda (conda-forge, in review), and a
  ComfyUI custom-nodes section.
- CLAUDE.md: per-channel release/bump cadence (Homebrew formula, conda-forge
  autotick bot, ComfyUI Registry); note pip_check: false on the conda recipe.
- Add packaging/conda/recipe.yaml (v1, noarch core-only), verified green on
  conda-forge/staged-recipes PR #33674.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 19:29:40 -07:00

64 lines
1.9 KiB
YAML

schema_version: 1
context:
version: "0.10.1"
python_min: "3.10"
package:
name: remove-ai-watermarks
version: ${{ version }}
source:
url: https://pypi.org/packages/source/r/remove-ai-watermarks/remove_ai_watermarks-${{ version }}.tar.gz
sha256: ec92b450363d947cd897f0b75c18e75c2988ff79314ea247333ba892470b5a77
build:
noarch: python
number: 0
script: python -m pip install . -vv --no-deps --no-build-isolation
requirements:
host:
- python ${{ python_min }}.*
- pip
- hatchling
run:
- python >=${{ python_min }}
- pillow >=10.0.0
- piexif >=1.1.3
- numpy >=1.24.0
- py-opencv >=4.8.0
- click >=8.0.0
- python-dotenv >=1.0.0
tests:
- python:
imports:
- remove_ai_watermarks
- remove_ai_watermarks.identify
- remove_ai_watermarks.metadata
python_version: ${{ python_min }}.*
# pip_check defaults to true; disable it explicitly. `pip check` fails on
# the conda-forge piexif `py_2` build, whose stale 2019 metadata pip reads
# as "piexif 1.1.3 is not supported on this platform" -- even though the
# package installs, imports, and works. The imports test verifies loading.
pip_check: false
about:
homepage: https://github.com/wiltodelta/remove-ai-watermarks
summary: Remove visible and invisible AI watermarks from images
description: |
Detect and remove visible AI watermarks (Gemini / Nano Banana sparkle,
ByteDance Doubao and Jimeng, Samsung Galaxy AI) and strip AI-provenance
metadata (C2PA, EXIF, IPTC, PNG text chunks) from images. The core package
covers the identify / metadata / visible / erase command surface; optional
pip extras add SynthID diffusion removal and additional invisible-watermark
detectors.
license: Apache-2.0
license_file: LICENSE
repository: https://github.com/wiltodelta/remove-ai-watermarks
extra:
recipe-maintainers:
- wiltodelta