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Recommended usage
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|
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|
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Use pre-converted weights
|
||
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||
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||
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|
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||
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<a href="#convert-the-weights-yourself" class="md-nav__link">
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Convert the weights yourself
|
||
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|
||
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|
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Testing the conversion
|
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|
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|
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Using Refiners in your own project
|
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<li class="md-nav__item">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9 1.09V6H7V1.09C4.16 1.57 2 4.03 2 7c0 2.22 1.21 4.15 3 5.19V21c0 .55.45 1 1 1h4c.55 0 1-.45 1-1v-8.81c1.79-1.04 3-2.97 3-5.19 0-2.97-2.16-5.43-5-5.91m1 9.37-1 .58V20H7v-8.96l-1-.58C4.77 9.74 4 8.42 4 7c0-1 .37-1.94 1-2.65V8h6V4.35c.63.71 1 1.65 1 2.65 0 1.42-.77 2.74-2 3.46m10.94 7.48a3.3 3.3 0 0 0 0-.89l.97-.73a.22.22 0 0 0 .06-.29l-.92-1.56c-.05-.1-.18-.14-.29-.1l-1.15.45c-.24-.17-.49-.32-.78-.44l-.17-1.19a.235.235 0 0 0-.23-.19h-1.85c-.12 0-.22.08-.24.19l-.17 1.19c-.29.12-.54.27-.78.44l-1.15-.45c-.1-.04-.24 0-.28.1l-.93 1.56c-.06.1-.03.22.06.29l.97.73c-.01.15-.03.3-.03.45s.02.29.03.44l-.97.74a.22.22 0 0 0-.06.29l.93 1.56c.04.1.18.13.28.1l1.15-.46c.24.18.49.33.78.45l.17 1.19c.02.11.12.19.24.19h1.85c.11 0 .21-.08.23-.19l.17-1.19c.29-.12.54-.27.78-.45l1.15.46c.11.03.24 0 .29-.1l.92-1.56a.22.22 0 0 0-.06-.29zM17.5 19c-.83 0-1.5-.67-1.5-1.5s.67-1.5 1.5-1.5 1.5.67 1.5 1.5-.67 1.5-1.5 1.5"/></svg>
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Advanced usage
|
||
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|
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|
||
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Key Concepts
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|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 1a2.5 2.5 0 0 0-2.5 2.5A2.5 2.5 0 0 0 11 5.79V7H7a2 2 0 0 0-2 2v.71A2.5 2.5 0 0 0 3.5 12 2.5 2.5 0 0 0 5 14.29V15H4a2 2 0 0 0-2 2v1.21A2.5 2.5 0 0 0 .5 20.5 2.5 2.5 0 0 0 3 23a2.5 2.5 0 0 0 2.5-2.5A2.5 2.5 0 0 0 4 18.21V17h4v1.21a2.5 2.5 0 0 0-1.5 2.29A2.5 2.5 0 0 0 9 23a2.5 2.5 0 0 0 2.5-2.5 2.5 2.5 0 0 0-1.5-2.29V17a2 2 0 0 0-2-2H7v-.71A2.5 2.5 0 0 0 8.5 12 2.5 2.5 0 0 0 7 9.71V9h10v.71A2.5 2.5 0 0 0 15.5 12a2.5 2.5 0 0 0 1.5 2.29V15h-1a2 2 0 0 0-2 2v1.21a2.5 2.5 0 0 0-1.5 2.29A2.5 2.5 0 0 0 15 23a2.5 2.5 0 0 0 2.5-2.5 2.5 2.5 0 0 0-1.5-2.29V17h4v1.21a2.5 2.5 0 0 0-1.5 2.29A2.5 2.5 0 0 0 21 23a2.5 2.5 0 0 0 2.5-2.5 2.5 2.5 0 0 0-1.5-2.29V17a2 2 0 0 0-2-2h-1v-.71A2.5 2.5 0 0 0 20.5 12 2.5 2.5 0 0 0 19 9.71V9a2 2 0 0 0-2-2h-4V5.79a2.5 2.5 0 0 0 1.5-2.29A2.5 2.5 0 0 0 12 1m0 1.5a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1M6 11a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1m12 0a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1M3 19.5a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1m6 0a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1m6 0a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1m6 0a1 1 0 0 1 1 1 1 1 0 0 1-1 1 1 1 0 0 1-1-1 1 1 0 0 1 1-1"/></svg>
|
||
|
|
||
|
<span class="md-ellipsis">
|
||
|
Chain
|
||
|
</span>
|
||
|
|
||
|
|
||
|
</a>
|
||
|
</li>
|
||
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|
||
|
|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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<li class="md-nav__item">
|
||
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<a href="../../concepts/context/" class="md-nav__link">
|
||
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|
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|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9 22a1 1 0 0 1-1-1v-3H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2h-6.1l-3.7 3.71c-.2.19-.45.29-.7.29zm1-6v3.08L13.08 16H20V4H4v12zm3-6h-2V6h2zm0 4h-2v-2h2z"/></svg>
|
||
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|
||
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<span class="md-ellipsis">
|
||
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Context
|
||
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</span>
|
||
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|
||
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|
||
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</a>
|
||
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</li>
|
||
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||
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<li class="md-nav__item">
|
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<a href="../../concepts/adapter/" class="md-nav__link">
|
||
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M2 12h2v5h16v-5h2v5a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2m9-12h2v3h3v2h-3v3h-2v-3H8V8h3Z"/></svg>
|
||
|
|
||
|
<span class="md-ellipsis">
|
||
|
Adapter
|
||
|
</span>
|
||
|
|
||
|
|
||
|
</a>
|
||
|
</li>
|
||
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|
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|
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|
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</ul>
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</nav>
|
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</li>
|
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_4" >
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<span class="md-ellipsis">
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Guides
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_4_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_4">
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<span class="md-nav__icon md-icon"></span>
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Guides
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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||
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<li class="md-nav__item">
|
||
|
<a href="../../guides/adapting_sdxl/" class="md-nav__link">
|
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|
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|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M2 13h2v2h2v-2h2v2h2v-2h2v2h2v-5l3-3V1h2l4 2-4 2v2l3 3v12H11v-3a2 2 0 0 0-2-2 2 2 0 0 0-2 2v3H2zm16-3c-.55 0-1 .54-1 1.2V13h2v-1.8c0-.66-.45-1.2-1-1.2"/></svg>
|
||
|
|
||
|
<span class="md-ellipsis">
|
||
|
Adapting SDXL
|
||
|
</span>
|
||
|
|
||
|
|
||
|
</a>
|
||
|
</li>
|
||
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|
||
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<li class="md-nav__item">
|
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Use pre-converted weights
|
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Convert the weights yourself
|
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Testing the conversion
|
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Using Refiners in your own project
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<div class="md-content" data-md-component="content">
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<article class="md-content__inner md-typeset">
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|
||
|
<h1 id="recommended-usage">Recommended usage<a class="headerlink" href="#recommended-usage" title="Permanent link">¶</a></h1>
|
||
|
<p>Refiners is still a young project and development is active, so to use the latest and greatest version of the framework we recommend you use the <code>main</code> branch from our development repository.</p>
|
||
|
<p>Moreover, we recommend using <a href="https://rye.astral.sh/">Rye</a> which simplifies several things related to Python package management, so start by following the instructions to install it on your system.</p>
|
||
|
<h2 id="installing">Installing<a class="headerlink" href="#installing" title="Permanent link">¶</a></h2>
|
||
|
<p>To try Refiners, clone the GitHub repository and install it with all optional features:</p>
|
||
|
<div class="language-bash highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a>git<span class="w"> </span>clone<span class="w"> </span>git@github.com:finegrain-ai/refiners.git
|
||
|
</span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="nb">cd</span><span class="w"> </span>refiners
|
||
|
</span><span id="__span-0-3"><a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a>rye<span class="w"> </span>sync<span class="w"> </span>--all-features
|
||
|
</span></code></pre></div>
|
||
|
<h2 id="converting-weights">Converting weights<a class="headerlink" href="#converting-weights" title="Permanent link">¶</a></h2>
|
||
|
<p>The format of state dicts used by Refiners is custom, so to use pretrained models you will need to convert weights.
|
||
|
We provide conversion tools and pre-converted weights on our <a href="https://huggingface.co/refiners">HuggingFace organization</a> for popular models.</p>
|
||
|
<p>For instance, to use the autoencoder from Stable Diffusion 1.5:</p>
|
||
|
<h3 id="use-pre-converted-weights">Use pre-converted weights<a class="headerlink" href="#use-pre-converted-weights" title="Permanent link">¶</a></h3>
|
||
|
<div class="language-py highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="kn">from</span> <span class="nn">huggingface_hub</span> <span class="kn">import</span> <span class="n">hf_hub_download</span>
|
||
|
</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a><span class="kn">from</span> <span class="nn">refiners.foundationals.latent_diffusion.stable_diffusion_1.model</span> <span class="kn">import</span> <span class="n">SD1Autoencoder</span>
|
||
|
</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a>
|
||
|
</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a><span class="c1"># download the pre-converted weights from the hub</span>
|
||
|
</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a><span class="n">safetensors_path</span> <span class="o">=</span> <span class="n">hf_hub_download</span><span class="p">(</span>
|
||
|
</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a> <span class="n">repo_id</span><span class="o">=</span><span class="s2">"refiners/sd15.autoencoder"</span><span class="p">,</span>
|
||
|
</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a> <span class="n">filename</span><span class="o">=</span><span class="s2">"model.safetensors"</span><span class="p">,</span>
|
||
|
</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a> <span class="n">revision</span><span class="o">=</span><span class="s2">"9ce6af42e21fce64d74b1cab57a65aea82fd40ea"</span><span class="p">,</span> <span class="c1"># optional</span>
|
||
|
</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a><span class="p">)</span>
|
||
|
</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a>
|
||
|
</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11" href="#__codelineno-1-11"></a><span class="c1"># initialize the model</span>
|
||
|
</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12" href="#__codelineno-1-12"></a><span class="n">model</span> <span class="o">=</span> <span class="n">SD1Autoencoder</span><span class="p">()</span>
|
||
|
</span><span id="__span-1-13"><a id="__codelineno-1-13" name="__codelineno-1-13" href="#__codelineno-1-13"></a>
|
||
|
</span><span id="__span-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14" href="#__codelineno-1-14"></a><span class="c1"># load the pre-converted weights</span>
|
||
|
</span><span id="__span-1-15"><a id="__codelineno-1-15" name="__codelineno-1-15" href="#__codelineno-1-15"></a><span class="n">model</span><span class="o">.</span><span class="n">load_from_safetensors</span><span class="p">(</span><span class="n">safetensors_path</span><span class="p">)</span>
|
||
|
</span></code></pre></div>
|
||
|
<h3 id="convert-the-weights-yourself">Convert the weights yourself<a class="headerlink" href="#convert-the-weights-yourself" title="Permanent link">¶</a></h3>
|
||
|
<p>If you want to convert the weights yourself, you can use the conversion tools we provide.</p>
|
||
|
<div class="language-py highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="kn">from</span> <span class="nn">refiners.conversion</span> <span class="kn">import</span> <span class="n">autoencoder_sd15</span>
|
||
|
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>
|
||
|
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="c1"># This function will:</span>
|
||
|
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="c1"># - download the original weights from the internet, and save them to disk at a known location</span>
|
||
|
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a><span class="c1"># (e.g. tests/weights/stable-diffusion-v1-5/stable-diffusion-v1-5/vae/diffusion_pytorch_model.safetensors)</span>
|
||
|
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a><span class="c1"># - convert them to the refiners format, and save them to disk at a known location</span>
|
||
|
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a><span class="c1"># (e.g. tests/weights/refiners/sd15.autoencoder/model.safetensors)</span>
|
||
|
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a><span class="n">autoencoder_sd15</span><span class="o">.</span><span class="n">runwayml</span><span class="o">.</span><span class="n">convert</span><span class="p">()</span>
|
||
|
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>
|
||
|
</span><span id="__span-2-10"><a id="__codelineno-2-10" name="__codelineno-2-10" href="#__codelineno-2-10"></a><span class="c1"># get the path to the converted weights</span>
|
||
|
</span><span id="__span-2-11"><a id="__codelineno-2-11" name="__codelineno-2-11" href="#__codelineno-2-11"></a><span class="n">safetensors_path</span> <span class="o">=</span> <span class="n">autoencoder_sd15</span><span class="o">.</span><span class="n">runwayml</span><span class="o">.</span><span class="n">converted</span><span class="o">.</span><span class="n">local_path</span>
|
||
|
</span><span id="__span-2-12"><a id="__codelineno-2-12" name="__codelineno-2-12" href="#__codelineno-2-12"></a>
|
||
|
</span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a><span class="c1"># initialize the model</span>
|
||
|
</span><span id="__span-2-14"><a id="__codelineno-2-14" name="__codelineno-2-14" href="#__codelineno-2-14"></a><span class="n">model</span> <span class="o">=</span> <span class="n">SD1Autoencoder</span><span class="p">()</span>
|
||
|
</span><span id="__span-2-15"><a id="__codelineno-2-15" name="__codelineno-2-15" href="#__codelineno-2-15"></a>
|
||
|
</span><span id="__span-2-16"><a id="__codelineno-2-16" name="__codelineno-2-16" href="#__codelineno-2-16"></a><span class="c1"># load the converted weights</span>
|
||
|
</span><span id="__span-2-17"><a id="__codelineno-2-17" name="__codelineno-2-17" href="#__codelineno-2-17"></a><span class="n">model</span><span class="o">.</span><span class="n">load_from_safetensors</span><span class="p">(</span><span class="n">safetensors_path</span><span class="p">)</span>
|
||
|
</span></code></pre></div>
|
||
|
<div class="admonition note">
|
||
|
<p class="admonition-title">Note</p>
|
||
|
<p>If you need to convert more model weights or all of them, check out the <code>refiners.conversion</code> module.</p>
|
||
|
</div>
|
||
|
<div class="admonition warning">
|
||
|
<p class="admonition-title">Warning</p>
|
||
|
<p>Converting all the weights requires a lot of disk space and CPU time, so be prepared.
|
||
|
Currently downloading all the original weights takes around ~100GB of disk space,
|
||
|
and converting them all takes around ~70GB of disk space.</p>
|
||
|
</div>
|
||
|
<div class="admonition warning">
|
||
|
<p class="admonition-title">Warning</p>
|
||
|
<p>Some conversion scripts may also require quite a bit of RAM, since they load the entire weights in memory,
|
||
|
~16GB of RAM should be enough for most models, but some models may require more.</p>
|
||
|
</div>
|
||
|
<h3 id="testing-the-conversion">Testing the conversion<a class="headerlink" href="#testing-the-conversion" title="Permanent link">¶</a></h3>
|
||
|
<p>To quickly check that the weights you got from the hub or converted yourself are correct, you can run the following snippet:</p>
|
||
|
<div class="language-py highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
|
||
|
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a><span class="kn">from</span> <span class="nn">refiners.fluxion.utils</span> <span class="kn">import</span> <span class="n">no_grad</span>
|
||
|
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>
|
||
|
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a><span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">"input.png"</span><span class="p">)</span>
|
||
|
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>
|
||
|
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a><span class="k">with</span> <span class="n">no_grad</span><span class="p">():</span>
|
||
|
</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a> <span class="n">latents</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">image_to_latents</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
|
||
|
</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a> <span class="n">decoded</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">latents_to_image</span><span class="p">(</span><span class="n">latents</span><span class="p">)</span>
|
||
|
</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a>
|
||
|
</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a><span class="n">decoded</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s2">"output.png"</span><span class="p">)</span>
|
||
|
</span></code></pre></div>
|
||
|
<p>Inspect <code>output.png</code>, if the converted weights are correct, it should be similar to <code>input.png</code> (but have a few differences).</p>
|
||
|
<h2 id="using-refiners-in-your-own-project">Using Refiners in your own project<a class="headerlink" href="#using-refiners-in-your-own-project" title="Permanent link">¶</a></h2>
|
||
|
<p>So far you used Refiners as a standalone package, but if you want to create your own project using it as a dependency here is how you can proceed:</p>
|
||
|
<div class="language-bash highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a>rye<span class="w"> </span>init<span class="w"> </span>--py<span class="w"> </span><span class="s2">"3.11"</span><span class="w"> </span>myproject
|
||
|
</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="nb">cd</span><span class="w"> </span>myproject
|
||
|
</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a>rye<span class="w"> </span>add<span class="w"> </span>refiners@git+https://github.com/finegrain-ai/refiners
|
||
|
</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a>rye<span class="w"> </span>sync
|
||
|
</span></code></pre></div>
|
||
|
<p>If you intend to use Refiners for training, you can install the <code>training</code> feature:</p>
|
||
|
<div class="language-bash highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a>rye<span class="w"> </span>add<span class="w"> </span>refiners<span class="o">[</span>training<span class="o">]</span>@git+https://github.com/finegrain-ai/refiners
|
||
|
</span></code></pre></div>
|
||
|
<p>Similarly, if you need to use the conversion tools we provide, you install the <code>conversion</code> feature:</p>
|
||
|
<div class="language-bash highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a>rye<span class="w"> </span>add<span class="w"> </span>refiners<span class="o">[</span>conversion<span class="o">]</span>@git+https://github.com/finegrain-ai/refiners
|
||
|
</span></code></pre></div>
|
||
|
<div class="admonition note">
|
||
|
<p class="admonition-title">Note</p>
|
||
|
<p>You can install multiple features at once by separating them with a comma:</p>
|
||
|
<div class="language-bash highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a>rye<span class="w"> </span>add<span class="w"> </span>refiners<span class="o">[</span>training,conversion<span class="o">]</span>@git+https://github.com/finegrain-ai/refiners
|
||
|
</span></code></pre></div>
|
||
|
</div>
|
||
|
<h2 id="whats-next">What's next?<a class="headerlink" href="#whats-next" title="Permanent link">¶</a></h2>
|
||
|
<p>We suggest you check out the <a href="/guides/">guides</a> section to dive into the usage of Refiners, of the <a href="/concepts/chain/">Key Concepts</a> section for a better understanding of how the framework works.</p>
|
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