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Bumps [numpy](https://github.com/numpy/numpy) from 1.21.5 to 1.22.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/numpy/numpy/releases">numpy's releases</a>.</em></p> <blockquote> <h2>v1.22.0</h2> <h1>NumPy 1.22.0 Release Notes</h1> <p>NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:</p> <ul> <li>Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.</li> <li>A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.</li> <li>NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.</li> <li>New methods for <code>quantile</code>, <code>percentile</code>, and related functions. The new methods provide a complete set of the methods commonly found in the literature.</li> <li>A new configurable allocator for use by downstream projects.</li> </ul> <p>These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.</p> <p>The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.</p> <h2>Expired deprecations</h2> <h3>Deprecated numeric style dtype strings have been removed</h3> <p>Using the strings <code>"Bytes0"</code>, <code>"Datetime64"</code>, <code>"Str0"</code>, <code>"Uint32"</code>, and <code>"Uint64"</code> as a dtype will now raise a <code>TypeError</code>.</p> <p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/19539">gh-19539</a>)</p> <h3>Expired deprecations for <code>loads</code>, <code>ndfromtxt</code>, and <code>mafromtxt</code> in npyio</h3> <p><code>numpy.loads</code> was deprecated in v1.15, with the recommendation that users use <code>pickle.loads</code> instead. <code>ndfromtxt</code> and <code>mafromtxt</code> were both deprecated in v1.17 - users should use <code>numpy.genfromtxt</code> instead with the appropriate value for the <code>usemask</code> parameter.</p> <p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/19615">gh-19615</a>)</p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="4adc87dff1"><code>4adc87d</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20685">#20685</a> from charris/prepare-for-1.22.0-release</li> <li><a href="fd66547557"><code>fd66547</code></a> REL: Prepare for the NumPy 1.22.0 release.</li> <li><a href="125304b035"><code>125304b</code></a> wip</li> <li><a href="c283859128"><code>c283859</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20682">#20682</a> from charris/backport-20416</li> <li><a href="5399c03d4a"><code>5399c03</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20681">#20681</a> from charris/backport-20954</li> <li><a href="f9c45f8ebf"><code>f9c45f8</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20680">#20680</a> from charris/backport-20663</li> <li><a href="794b36f7e1"><code>794b36f</code></a> Update armccompiler.py</li> <li><a href="d93b14e3d7"><code>d93b14e</code></a> Update test_public_api.py</li> <li><a href="7662c0789c"><code>7662c07</code></a> Update <strong>init</strong>.py</li> <li><a href="311ab52488"><code>311ab52</code></a> Update armccompiler.py</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.21.5...v1.22.0">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/ZeroCool940711/stable-diffusion-webui/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Alejandro Gil <ZeroCool940711@users.noreply.github.com>
79 lines
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79 lines
2.4 KiB
Plaintext
# Core Stable Diffusion Dependencies
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# Minimum Environment Dependencies for Stable Diffusion
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#torch # already satisfied as 1.12.1 from base image
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#torchvision # already satisfied as 0.13.1 from base image
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numpy==1.22.0 # already satisfied as 1.21.5 from base image
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# Stable Diffusion (see: https://github.com/CompVis/stable-diffusion)
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transformers==4.22.2
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diffusers==0.3.0
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invisible-watermark==0.1.5
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pytorch_lightning==1.7.7
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# Additional Stable Diffusion Requirements
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# TODO: Pin external dependency versions
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#opencv-python==4.6.0.66 # Opencv python already satisfied upstream
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#opencv-python-headless==4.6.0.66 # Needed to operate opencv in headless/server mode
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taming-transformers-rom1504==0.0.6 # required by ldm
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# See: https://github.com/CompVis/taming-transformers/issues/176
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# -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers # required by ldm
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# Note: taming package needs to be installed with -e option
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git+https://github.com/crowsonkb/k-diffusion.git
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# Note: K-diffusion brings in CLIP 1.0 as a dependency automatically; will create a dependency resolution conflict when explicitly specified together
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# git+https://github.com/openai/CLIP.git@main#egg=clip
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# Dependencies required for Stable Diffusion UI
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pynvml==11.4.1
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omegaconf==2.2.3
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Jinja2==3.1.2 # Jinja2 is required by Gradio
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# Note: Jinja2 3.x major version required due to breaking changes found in markupsafe==2.1.1; 2.0.1 is incompatible with other upstream dependencies
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# see https://github.com/pallets/markupsafe/issues/304
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# Environment Dependencies for WebUI (gradio)
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gradio==3.4
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# Environment Dependencies for WebUI (streamlit)
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streamlit==1.13.0
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streamlit-on-Hover-tabs==1.0.1
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streamlit-option-menu==0.3.2
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streamlit_nested_layout==0.1.1
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streamlit-server-state==0.14.2
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streamlit-tensorboard==0.0.2
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hydralit==1.0.14
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hydralit_components==1.0.10
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# Img2text
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ftfy==6.1.1
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fairscale==0.4.4
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pycocotools==2.0.5
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pycocoevalcap==1.2
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regex
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timm==0.4.12
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tqdm==4.64.0
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tensorboard==2.10.1
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# Other
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retry==0.9.2 # used by sdutils
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python-slugify==6.1.2 # used by sdutils
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piexif==1.1.3 # used by sdutils
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# Optional packages commonly used with Stable Diffusion workflow
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# Upscalers
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basicsr==1.4.2 # required by RealESRGAN
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gfpgan==1.3.8 # GFPGAN
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realesrgan==0.3.0 # RealESRGAN brings in GFPGAN as a requirement
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-e git+https://github.com/devilismyfriend/latent-diffusion#egg=latent-diffusion #ldsr
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# Orphaned Packages: No usage found
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