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<li class="toctree-l1 current"><a class="current reference internal" href="#">Command Line Options</a><ul>
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<section id="command-line-options">
<h1>Command Line Options<a class="headerlink" href="#command-line-options" title="Link to this heading"></a></h1>
<p>Most of the options supported by <cite>ComfyUI</cite> are supported.</p>
<p>They can be specified when starting manually:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-m<span class="w"> </span>visionatrix<span class="w"> </span>run<span class="w"> </span>--ui<span class="w"> </span>--use-split-cross-attention<span class="w"> </span>--disable-smart-memory
</pre></div>
</div>
<p>Here are the list of the supported options command line options related to <cite>Visionatrix</cite> for <strong>run</strong> command:</p>
<blockquote>
<div><dl class="option-list">
<dt><kbd><span class="option">--backend_dir <var>BACKEND_DIR</var></span></kbd></dt>
<dd><dl class="simple">
<dt>Directory for the backend(folder with ComfyUI)</dt><dd><p>Default: <code class="docutils literal notranslate"><span class="pre">vix_backend</span></code></p>
</dd>
</dl>
</dd>
<dt><kbd><span class="option">--flows_dir <var>FLOWS_DIR</var></span></kbd></dt>
<dd><dl class="simple">
<dt>Directory for the flows</dt><dd><p>Default: <code class="docutils literal notranslate"><span class="pre">vix_flows</span></code></p>
</dd>
</dl>
</dd>
<dt><kbd><span class="option">--models_dir <var>MODELS_DIR</var></span></kbd></dt>
<dd><dl class="simple">
<dt>Directory for the models</dt><dd><p>Default: <code class="docutils literal notranslate"><span class="pre">`vix_models</span></code></p>
</dd>
</dl>
</dd>
<dt><kbd><span class="option">--tasks_files_dir <var>TASKS_FILES_DIR</var></span></kbd></dt>
<dd><dl class="simple">
<dt>Directory for input/output files</dt><dd><p>Default: <code class="docutils literal notranslate"><span class="pre">vix_task_files</span></code></p>
</dd>
</dl>
</dd>
<dt><kbd><span class="option">--host <var>HOST</var></span></kbd></dt>
<dd><p>Host to be used by Visionatrix</p>
</dd>
<dt><kbd><span class="option">--port <var>PORT</var></span></kbd></dt>
<dd><p>Port to be used by Visionatrix</p>
</dd>
<dt><kbd><span class="option">--ui</span></kbd></dt>
<dd><p>Flag to enable User interface(JS frontend).</p>
</dd>
</dl>
</div></blockquote>
<section id="supported-comfyui-options">
<h2>Supported <strong>ComfyUI</strong> options<a class="headerlink" href="#supported-comfyui-options" title="Link to this heading"></a></h2>
<blockquote>
<div><dl class="option-list">
<dt><kbd><span class="option">--cuda-device <var>DEVICE_ID</var></span></kbd></dt>
<dd><p>Set the id of the cuda device this instance will use.</p>
</dd>
<dt><kbd><span class="option">--cuda-malloc</span></kbd></dt>
<dd><p>Enable cudaMallocAsync (enabled by default for torch
2.0 and up).</p>
</dd>
<dt><kbd><span class="option">--disable-cuda-malloc</span></kbd></dt>
<dd><p>Disable cudaMallocAsync.</p>
</dd>
<dt><kbd><span class="option">--force-fp32</span></kbd></dt>
<dd><p>Force fp32 (If this makes your GPU work better please report it).</p>
</dd>
<dt><kbd><span class="option">--force-fp16</span></kbd></dt>
<dd><p>Force fp16.</p>
</dd>
<dt><kbd><span class="option">--bf16-unet</span></kbd></dt>
<dd><p>Run the UNET in bf16. This should only be used for
testing stuff.</p>
</dd>
<dt><kbd><span class="option">--fp16-unet</span></kbd></dt>
<dd><p>Store unet weights in fp16.</p>
</dd>
<dt><kbd><span class="option">--fp8_e4m3fn-unet</span></kbd></dt>
<dd><p>Store unet weights in fp8_e4m3fn.</p>
</dd>
<dt><kbd><span class="option">--fp8_e5m2-unet</span></kbd></dt>
<dd><p>Store unet weights in fp8_e5m2.</p>
</dd>
<dt><kbd><span class="option">--fp16-vae</span></kbd></dt>
<dd><p>Run the VAE in fp16, might cause black images.</p>
</dd>
<dt><kbd><span class="option">--fp32-vae</span></kbd></dt>
<dd><p>Run the VAE in full precision fp32.</p>
</dd>
<dt><kbd><span class="option">--bf16-vae</span></kbd></dt>
<dd><p>Run the VAE in bf16.</p>
</dd>
<dt><kbd><span class="option">--cpu-vae</span></kbd></dt>
<dd><p>Run the VAE on the CPU.</p>
</dd>
<dt><kbd><span class="option">--fp8_e4m3fn-text-enc</span></kbd></dt>
<dd><p>Store text encoder weights in fp8 (e4m3fn variant).</p>
</dd>
<dt><kbd><span class="option">--fp8_e5m2-text-enc</span></kbd></dt>
<dd><p>Store text encoder weights in fp8 (e5m2 variant).</p>
</dd>
<dt><kbd><span class="option">--fp16-text-enc</span></kbd></dt>
<dd><p>Store text encoder weights in fp16.</p>
</dd>
<dt><kbd><span class="option">--fp32-text-enc</span></kbd></dt>
<dd><p>Store text encoder weights in fp32.</p>
</dd>
<dt><kbd><span class="option">--disable-ipex-optimize</span></kbd></dt>
<dd><p>Disables ipex.optimize when loading models with Intel GPUs.</p>
</dd>
<dt><kbd><span class="option">--use-split-cross-attention</span></kbd></dt>
<dd><p>Use the split cross attention optimization. Ignored when xformers is used.</p>
</dd>
<dt><kbd><span class="option">--use-quad-cross-attention</span></kbd></dt>
<dd><p>Use the sub-quadratic cross attention optimization. Ignored when xformers is used.</p>
</dd>
<dt><kbd><span class="option">--use-pytorch-cross-attention</span></kbd></dt>
<dd><p>Use the new pytorch 2.0 cross attention function.</p>
</dd>
<dt><kbd><span class="option">--disable-xformers</span></kbd></dt>
<dd><p>Disable xformers.</p>
</dd>
<dt><kbd><span class="option">--force-upcast-attention</span></kbd></dt>
<dd><p>Force enable attention upcasting, please report if it fixes black images.</p>
</dd>
<dt><kbd><span class="option">--dont-upcast-attention</span></kbd></dt>
<dd><p>Disable all upcasting of attention. Should be unnecessary except for debugging.</p>
</dd>
<dt><kbd><span class="option">--gpu-only</span></kbd></dt>
<dd><p>Store and run everything (text encoders/CLIP models,
etc… on the GPU).</p>
</dd>
<dt><kbd><span class="option">--highvram</span></kbd></dt>
<dd><p>By default models will be unloaded to CPU memory after
being used. This option keeps them in GPU memory.</p>
</dd>
<dt><kbd><span class="option">--normalvram</span></kbd></dt>
<dd><p>Used to force normal vram use if lowvram gets
automatically enabled.</p>
</dd>
<dt><kbd><span class="option">--lowvram</span></kbd></dt>
<dd><p>Split the unet in parts to use less vram.</p>
</dd>
<dt><kbd><span class="option">--novram</span></kbd></dt>
<dd><p>When lowvram isn’t enough.</p>
</dd>
<dt><kbd><span class="option">--cpu</span></kbd></dt>
<dd><p>To use the CPU for everything (slow).</p>
</dd>
<dt><kbd><span class="option">--disable-smart-memory</span></kbd></dt>
<dd><p>Force ComfyUI to aggressively offload to regular ram
instead of keeping models in vram when it can.</p>
</dd>
</dl>
</div></blockquote>
</section>
<section id="additional-commands">
<h2>Additional commands<a class="headerlink" href="#additional-commands" title="Link to this heading"></a></h2>
<section id="install-flow">
<h3>install-flow<a class="headerlink" href="#install-flow" title="Link to this heading"></a></h3>
<p>Can be used for Workers that do not have a user interface.</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-m<span class="w"> </span>visionatrix<span class="w"> </span>install-flow<span class="w"> </span>--directory<span class="w"> </span>path_to_folder
</pre></div>
</div>
<p>Folder should contain <code class="docutils literal notranslate"><span class="pre">flow.json</span></code> and <code class="docutils literal notranslate"><span class="pre">flow_comfy.json</span></code></p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-m<span class="w"> </span>visionatrix<span class="w"> </span>install-flow<span class="w"> </span>--name<span class="w"> </span>photo_stickers
</pre></div>
</div>
<p>This will install flow by it’s <code class="docutils literal notranslate"><span class="pre">ID</span></code> which is equal to it’s folder name <a class="reference external" href="https://github.com/Visionatrix/VixFlows/tree/main/flows">here</a></p>
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