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Update for release (#15)
* add settings for release * update README.md * update pyproject.toml * update README.md
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.github/workflows/publish.yaml

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name: Publish
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on:
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push:
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tags:
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- "v[0-9]+.[0-9]+.[0-9]+"
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.10"
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- name: Install dependencies
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run: |
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make setup
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- name: Build and publish
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run: |
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uv build
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- name: Publish
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env:
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UV_PUBLISH_TOKEN: ${{ secrets.PYPI_API_TOKEN }}
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run: |
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uv publish

.github/workflows/release.yaml

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name: Release
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on:
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push:
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branches: [main]
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jobs:
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tagpr:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/create-github-app-token@v1
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id: app-token
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with:
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app-id: ${{ vars.APP_ID }}
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private-key: ${{ secrets.PRIVATE_KEY }}
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- uses: actions/checkout@v4
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with:
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token: ${{ steps.app-token.outputs.token }}
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- uses: Songmu/tagpr@v1
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env:
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GITHUB_TOKEN: ${{ steps.app-token.outputs.token }}

README.md

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[![CI](https://github.com/py-img-gen/diffusers-ncsn/actions/workflows/ci.yaml/badge.svg)](https://github.com/py-img-gen/diffusers-ncsn/actions/workflows/ci.yaml)
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[![Document](https://github.com/py-img-gen/diffusers-ncsn/actions/workflows/gh-pages.yaml/badge.svg)](https://github.com/py-img-gen/diffusers-ncsn/actions/workflows/gh-pages.yaml)
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[![ermongroup/ncsn](https://img.shields.io/badge/Official_code-GitHub-green)](https://github.com/ermongroup/ncsn)
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[![ermongroup/ncsn](https://img.shields.io/badge/Official_code-ermongroup%2Fncsn-green)](https://github.com/ermongroup/ncsn)
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[![Model on HF](https://img.shields.io/badge/🤗%20Model%20on%20HF-py--img--gen/ncsn--mnist-D4AA00)](https://huggingface.co/py-img-gen/ncsn-mnist)
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[![PyPI](https://img.shields.io/pypi/v/diffusers-ncsn.svg)](https://pypi.org/project/diffusers-ncsn/)
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[`🤗 diffusers`](https://github.com/huggingface/diffusers) implementation of the paper ["Generative Modeling by Estimating Gradients of the Data Distribution" [Yang+ NeurIPS'19]](https://arxiv.org/abs/1907.05600).
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First, install the package from this repository:
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```shell
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pip install git+https://github.com/py-img-gen/diffusers-ncsn
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pip install diffusers-ncsn
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```
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Then, you can use the package as follows:

pyproject.toml

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[project]
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name = "diffusers-ncsn"
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version = "0.1.0"
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version = "0.0.1"
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description = "Diffusers implementation of Noise Conditional Score Networks (NCSN) [Yang+ NeuriPS'19]"
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authors = [
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{ name = "Shunsuke Kitada", email = "shunsuke.kitada.0831@gmail.com" },
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{ name = "Image Generation with Python", email = "python.image.generation@gmail.com" },
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]
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readme = "README.md"
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license = "Apache-2.0"
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keywords = [
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"python",
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"diffusers",
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"generative-model",
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"noise conditional score networks",
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"ncsn",
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]
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classifiers = [
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# Audience
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"Intended Audience :: Developers",
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# Supported Python versions
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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]
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requires-python = ">=3.10"
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dependencies = [
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"diffusers[torch]>=0.31.0",
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packages = ["src/ncsn"]
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[tool.mypy]
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python_version = "3.11"
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python_version = "3.10"
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ignore_missing_imports = true

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