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<h1 id="invokeai-configuration"><span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M8 13c-1.86 0-3.41 1.28-3.86 3H2v2h2.14c.45 1.72 2 3 3.86 3s3.41-1.28 3.86-3H22v-2H11.86c-.45-1.72-2-3-3.86-3m0 6c-1.1 0-2-.9-2-2s.9-2 2-2 2 .9 2 2-.9 2-2 2M19.86 6c-.45-1.72-2-3-3.86-3s-3.41 1.28-3.86 3H2v2h10.14c.45 1.72 2 3 3.86 3s3.41-1.28 3.86-3H22V6h-2.14M16 9c-1.1 0-2-.9-2-2s.9-2 2-2 2 .9 2 2-.9 2-2 2Z"/></svg></span> InvokeAI Configuration<a class="headerlink" href="#invokeai-configuration" title="Permanent link">#</a></h1>
<h2 id="intro">Intro<a class="headerlink" href="#intro" title="Permanent link">#</a></h2>
<p>Runtime settings, including the location of files and
directories, memory usage, and performance, are managed via the
<code>invokeai.yaml</code> config file or environment variables. A subset
of settings may be set via commandline arguments.</p>
<p>Settings sources are used in this order:</p>
<ul>
<li>CLI args</li>
<li>Environment variables</li>
<li><code>invokeai.yaml</code> settings</li>
<li>Fallback: defaults</li>
</ul>
<h3 id="invokeai-root-directory">InvokeAI Root Directory<a class="headerlink" href="#invokeai-root-directory" title="Permanent link">#</a></h3>
<p>On startup, InvokeAI searches for its "root" directory. This is the directory
that contains models, images, the database, and so on. It also contains
a configuration file called <code>invokeai.yaml</code>.</p>
<p>InvokeAI searches for the root directory in this order:</p>
<ol>
<li>The <code>--root &lt;path&gt;</code> CLI arg.</li>
<li>The environment variable INVOKEAI_ROOT.</li>
<li>The directory containing the currently active virtual environment.</li>
<li>Fallback: a directory in the current user's home directory named <code>invokeai</code>.</li>
</ol>
<h3 id="invokeai-configuration-file">InvokeAI Configuration File<a class="headerlink" href="#invokeai-configuration-file" title="Permanent link">#</a></h3>
<p>Inside the root directory, we read settings from the <code>invokeai.yaml</code> file.</p>
<p>It has two sections - one for internal use and one for user settings:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="c1"># Internal metadata - do not edit:</span>
<a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="nt">schema_version</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">4</span>
<a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a>
<a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="c1"># Put user settings here - see https://invoke-ai.github.io/InvokeAI/features/CONFIGURATION/:</span>
<a id="__codelineno-0-5" name="__codelineno-0-5" href="#__codelineno-0-5"></a><span class="nt">host</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">0.0.0.0</span><span class="w"> </span><span class="c1"># serve the app on your local network</span>
<a id="__codelineno-0-6" name="__codelineno-0-6" href="#__codelineno-0-6"></a><span class="nt">models_dir</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">D:\invokeai\models</span><span class="w"> </span><span class="c1"># store models on an external drive</span>
<a id="__codelineno-0-7" name="__codelineno-0-7" href="#__codelineno-0-7"></a><span class="nt">precision</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">float16</span><span class="w"> </span><span class="c1"># always use fp16 precision</span>
</code></pre></div>
<p>The settings in this file will override the defaults. You only need
to change this file if the default for a particular setting doesn't
work for you.</p>
<p>You'll find an example file next to <code>invokeai.yaml</code> that shows the default values.</p>
<p>Some settings, like <a href="#model-marketplace-api-keys">Model Marketplace API Keys</a>, require the YAML
to be formatted correctly. Here is a <a href="https://circleci.com/blog/what-is-yaml-a-beginner-s-guide/">basic guide to YAML files</a>.</p>
<h4 id="custom-config-file-location">Custom Config File Location<a class="headerlink" href="#custom-config-file-location" title="Permanent link">#</a></h4>
<p>You can use any config file with the <code>--config</code> CLI arg. Pass in the path to the <code>invokeai.yaml</code> file you want to use.</p>
<p>Note that environment variables will trump any settings in the config file.</p>
<h3 id="environment-variables">Environment Variables<a class="headerlink" href="#environment-variables" title="Permanent link">#</a></h3>
<p>All settings may be set via environment variables by prefixing <code>INVOKEAI_</code>
to the variable name. For example, <code>INVOKEAI_HOST</code> would set the <code>host</code>
setting.</p>
<p>For non-primitive values, pass a JSON-encoded string:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="nb">export</span><span class="w"> </span><span class="nv">INVOKEAI_REMOTE_API_TOKENS</span><span class="o">=</span><span class="s1">&#39;[{&quot;url_regex&quot;:&quot;modelmarketplace&quot;, &quot;token&quot;: &quot;12345&quot;}]&#39;</span>
</code></pre></div>
<p>We suggest using <code>invokeai.yaml</code>, as it is more user-friendly.</p>
<h3 id="cli-args">CLI Args<a class="headerlink" href="#cli-args" title="Permanent link">#</a></h3>
<p>A subset of settings may be specified using CLI args:</p>
<ul>
<li><code>--root</code>: specify the root directory</li>
<li><code>--config</code>: override the default <code>invokeai.yaml</code> file location</li>
</ul>
<h3 id="all-settings">All Settings<a class="headerlink" href="#all-settings" title="Permanent link">#</a></h3>
<p>Following the table are additional explanations for certain settings.</p>
<!-- prettier-ignore-start -->
<div class="doc doc-object doc-class">
<h4 id="invokeai.app.services.config.config_default.InvokeAIAppConfig" class="doc doc-heading">
<span class="doc doc-object-name doc-class-name">InvokeAIAppConfig</span>
<a href="#invokeai.app.services.config.config_default.InvokeAIAppConfig" class="headerlink" title="Permanent link">#</a></h4>
<div class="doc doc-contents first">
<p><span class="doc-section-title">Attributes:</span></p>
<table>
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.host">host</span></code></td>
<td>
<code>str</code>
</td>
<td>
<div class="doc-md-description">
<p>IP address to bind to. Use <code>0.0.0.0</code> to serve to your local network.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.port">port</span></code></td>
<td>
<code>int</code>
</td>
<td>
<div class="doc-md-description">
<p>Port to bind to.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.allow_origins">allow_origins</span></code></td>
<td>
<code>list[str]</code>
</td>
<td>
<div class="doc-md-description">
<p>Allowed CORS origins.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.allow_credentials">allow_credentials</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Allow CORS credentials.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.allow_methods">allow_methods</span></code></td>
<td>
<code>list[str]</code>
</td>
<td>
<div class="doc-md-description">
<p>Methods allowed for CORS.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.allow_headers">allow_headers</span></code></td>
<td>
<code>list[str]</code>
</td>
<td>
<div class="doc-md-description">
<p>Headers allowed for CORS.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.ssl_certfile">ssl_certfile</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[<span title="pathlib.Path">Path</span>]</code>
</td>
<td>
<div class="doc-md-description">
<p>SSL certificate file for HTTPS. See <a href="https://www.uvicorn.org/settings/#https">https://www.uvicorn.org/settings/#https</a>.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.ssl_keyfile">ssl_keyfile</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[<span title="pathlib.Path">Path</span>]</code>
</td>
<td>
<div class="doc-md-description">
<p>SSL key file for HTTPS. See <a href="https://www.uvicorn.org/settings/#https">https://www.uvicorn.org/settings/#https</a>.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_tokenization">log_tokenization</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Enable logging of parsed prompt tokens.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.patchmatch">patchmatch</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Enable patchmatch inpaint code.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.models_dir">models_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to the models directory.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.convert_cache_dir">convert_cache_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to the converted models cache directory (DEPRECATED, but do not delete because it is needed for migration from previous versions).</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.download_cache_dir">download_cache_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to the directory that contains dynamically downloaded models.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.legacy_conf_dir">legacy_conf_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to directory of legacy checkpoint config files.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.db_dir">db_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to InvokeAI databases directory.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.outputs_dir">outputs_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to directory for outputs.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.custom_nodes_dir">custom_nodes_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to directory for custom nodes.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.style_presets_dir">style_presets_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to directory for style presets.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_handlers">log_handlers</span></code></td>
<td>
<code>list[str]</code>
</td>
<td>
<div class="doc-md-description">
<p>Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>".</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_format">log_format</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.LOG_FORMAT">LOG_FORMAT</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style.<br>Valid values: <code>plain</code>, <code>color</code>, <code>syslog</code>, <code>legacy</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_level">log_level</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.LOG_LEVEL">LOG_LEVEL</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Emit logging messages at this level or higher.<br>Valid values: <code>debug</code>, <code>info</code>, <code>warning</code>, <code>error</code>, <code>critical</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_sql">log_sql</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Log SQL queries. <code>log_level</code> must be <code>debug</code> for this to do anything. Extremely verbose.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.use_memory_db">use_memory_db</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Use in-memory database. Useful for development.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.dev_reload">dev_reload</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Automatically reload when Python sources are changed. Does not reload node definitions.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.profile_graphs">profile_graphs</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Enable graph profiling using <code>cProfile</code>.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.profile_prefix">profile_prefix</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[str]</code>
</td>
<td>
<div class="doc-md-description">
<p>An optional prefix for profile output files.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.profiles_dir">profiles_dir</span></code></td>
<td>
<code><span title="pathlib.Path">Path</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Path to profiles output directory.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.ram">ram</span></code></td>
<td>
<code>float</code>
</td>
<td>
<div class="doc-md-description">
<p>Maximum memory amount used by memory model cache for rapid switching (GB).</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.vram">vram</span></code></td>
<td>
<code>float</code>
</td>
<td>
<div class="doc-md-description">
<p>Amount of VRAM reserved for model storage (GB).</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.lazy_offload">lazy_offload</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Keep models in VRAM until their space is needed.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.log_memory_usage">log_memory_usage</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature if you are actively inspecting the model cache's behaviour.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.device">device</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.DEVICE">DEVICE</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Preferred execution device. <code>auto</code> will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: <code>auto</code>, <code>cpu</code>, <code>cuda</code>, <code>cuda:1</code>, <code>mps</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.precision">precision</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.PRECISION">PRECISION</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Floating point precision. <code>float16</code> will consume half the memory of <code>float32</code> but produce slightly lower-quality images. The <code>auto</code> setting will guess the proper precision based on your video card and operating system.<br>Valid values: <code>auto</code>, <code>float16</code>, <code>bfloat16</code>, <code>float32</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.sequential_guidance">sequential_guidance</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.attention_type">attention_type</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.ATTENTION_TYPE">ATTENTION_TYPE</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Attention type.<br>Valid values: <code>auto</code>, <code>normal</code>, <code>xformers</code>, <code>sliced</code>, <code>torch-sdp</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.attention_slice_size">attention_slice_size</span></code></td>
<td>
<code><span title="invokeai.app.services.config.config_default.ATTENTION_SLICE_SIZE">ATTENTION_SLICE_SIZE</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Slice size, valid when attention_type=="sliced".<br>Valid values: <code>auto</code>, <code>balanced</code>, <code>max</code>, <code>1</code>, <code>2</code>, <code>3</code>, <code>4</code>, <code>5</code>, <code>6</code>, <code>7</code>, <code>8</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.force_tiled_decode">force_tiled_decode</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty).</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.pil_compress_level">pil_compress_level</span></code></td>
<td>
<code>int</code>
</td>
<td>
<div class="doc-md-description">
<p>The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = no compression, 1 = fastest with slightly larger filesize, 9 = slowest with smallest filesize. 1 is typically the best setting.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.max_queue_size">max_queue_size</span></code></td>
<td>
<code>int</code>
</td>
<td>
<div class="doc-md-description">
<p>Maximum number of items in the session queue.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.clear_queue_on_startup">clear_queue_on_startup</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Empties session queue on startup.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.allow_nodes">allow_nodes</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[list[str]]</code>
</td>
<td>
<div class="doc-md-description">
<p>List of nodes to allow. Omit to allow all.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.deny_nodes">deny_nodes</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[list[str]]</code>
</td>
<td>
<div class="doc-md-description">
<p>List of nodes to deny. Omit to deny none.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.node_cache_size">node_cache_size</span></code></td>
<td>
<code>int</code>
</td>
<td>
<div class="doc-md-description">
<p>How many cached nodes to keep in memory.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.hashing_algorithm">hashing_algorithm</span></code></td>
<td>
<code><span title="invokeai.backend.model_hash.model_hash.HASHING_ALGORITHMS">HASHING_ALGORITHMS</span></code>
</td>
<td>
<div class="doc-md-description">
<p>Model hashing algorthim for model installs. 'blake3_multi' is best for SSDs. 'blake3_single' is best for spinning disk HDDs. 'random' disables hashing, instead assigning a UUID to models. Useful when using a memory db to reduce model installation time, or if you don't care about storing stable hashes for models. Alternatively, any other hashlib algorithm is accepted, though these are not nearly as performant as blake3.<br>Valid values: <code>blake3_multi</code>, <code>blake3_single</code>, <code>random</code>, <code>md5</code>, <code>sha1</code>, <code>sha224</code>, <code>sha256</code>, <code>sha384</code>, <code>sha512</code>, <code>blake2b</code>, <code>blake2s</code>, <code>sha3_224</code>, <code>sha3_256</code>, <code>sha3_384</code>, <code>sha3_512</code>, <code>shake_128</code>, <code>shake_256</code></p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.remote_api_tokens">remote_api_tokens</span></code></td>
<td>
<code><span title="typing.Optional">Optional</span>[list[<span title="invokeai.app.services.config.config_default.URLRegexTokenPair">URLRegexTokenPair</span>]]</code>
</td>
<td>
<div class="doc-md-description">
<p>List of regular expression and token pairs used when downloading models from URLs. The download URL is tested against the regex, and if it matches, the token is provided in as a Bearer token.</p>
</div>
</td>
</tr>
<tr class="doc-section-item">
<td><code><span title="invokeai.app.services.config.config_default.InvokeAIAppConfig.scan_models_on_startup">scan_models_on_startup</span></code></td>
<td>
<code>bool</code>
</td>
<td>
<div class="doc-md-description">
<p>Scan the models directory on startup, registering orphaned models. This is typically only used in conjunction with <code>use_memory_db</code> for testing purposes.</p>
</div>
</td>
</tr>
</tbody>
</table>
<div class="doc doc-children">
</div>
</div>
</div><!-- prettier-ignore-end -->
<h4 id="model-marketplace-api-keys">Model Marketplace API Keys<a class="headerlink" href="#model-marketplace-api-keys" title="Permanent link">#</a></h4>
<p>Some model marketplaces require an API key to download models. You can provide a URL pattern and appropriate token in your <code>invokeai.yaml</code> file to provide that API key.</p>
<p>The pattern can be any valid regex (you may need to surround the pattern with quotes):</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="nt">remote_api_tokens</span><span class="p">:</span>
<a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="w"> </span><span class="c1"># Any URL containing `models.com` will automatically use `your_models_com_token`</span>
<a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">url_regex</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">models.com</span>
<a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="w"> </span><span class="nt">token</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">your_models_com_token</span>
<a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a><span class="w"> </span><span class="c1"># Any URL matching this contrived regex will use `some_other_token`</span>
<a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="nt">url_regex</span><span class="p">:</span><span class="w"> </span><span class="s">&#39;^[a-z]{3}whatever.*\.com$&#39;</span>
<a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a><span class="w"> </span><span class="nt">token</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">some_other_token</span>
</code></pre></div>
<p>The provided token will be added as a <code>Bearer</code> token to the network requests to download the model files. As far as we know, this works for all model marketplaces that require authorization.</p>
<h4 id="model-hashing">Model Hashing<a class="headerlink" href="#model-hashing" title="Permanent link">#</a></h4>
<p>Models are hashed during installation, providing a stable identifier for models across all platforms. Hashing is a one-time operation.</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="nt">hashing_algorithm</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">blake3_single</span><span class="w"> </span><span class="c1"># default value</span>
</code></pre></div>
<p>You might want to change this setting, depending on your system:</p>
<ul>
<li><code>blake3_single</code> (default): Single-threaded - best for spinning HDDs, still OK for SSDs</li>
<li><code>blake3_multi</code>: Parallelized, memory-mapped implementation - best for SSDs, terrible for spinning disks</li>
<li><code>random</code>: Skip hashing entirely - fastest but of course no hash</li>
</ul>
<p>During the first startup after upgrading to v4, all of your models will be hashed. This can take a few minutes.</p>
<p>Most common algorithms are supported, like <code>md5</code>, <code>sha256</code>, and <code>sha512</code>. These are typically much, much slower than either of the BLAKE3 variants.</p>
<h4 id="path-settings">Path Settings<a class="headerlink" href="#path-settings" title="Permanent link">#</a></h4>
<p>These options set the paths of various directories and files used by InvokeAI. Any user-defined paths should be absolute paths.</p>
<h4 id="logging">Logging<a class="headerlink" href="#logging" title="Permanent link">#</a></h4>
<p>Several different log handler destinations are available, and multiple destinations are supported by providing a list:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="nt">log_handlers</span><span class="p">:</span>
<a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">console</span>
<a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">syslog=localhost</span>
<a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">file=/var/log/invokeai.log</span>
</code></pre></div>
<ul>
<li>
<p><code>console</code> is the default. It prints log messages to the command-line window from which InvokeAI was launched.</p>
</li>
<li>
<p><code>syslog</code> is only available on Linux and Macintosh systems. It uses
the operating system's "syslog" facility to write log file entries
locally or to a remote logging machine. <code>syslog</code> offers a variety
of configuration options:</p>
</li>
</ul>
<div class="highlight"><pre><span></span><code><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a> syslog=/dev/log` - log to the /dev/log device
<a id="__codelineno-5-2" name="__codelineno-5-2" href="#__codelineno-5-2"></a> syslog=localhost` - log to the network logger running on the local machine
<a id="__codelineno-5-3" name="__codelineno-5-3" href="#__codelineno-5-3"></a> syslog=localhost:512` - same as above, but using a non-standard port
<a id="__codelineno-5-4" name="__codelineno-5-4" href="#__codelineno-5-4"></a> syslog=fredserver,facility=LOG_USER,socktype=SOCK_DRAM`
<a id="__codelineno-5-5" name="__codelineno-5-5" href="#__codelineno-5-5"></a> - Log to LAN-connected server &quot;fredserver&quot; using the facility LOG_USER and datagram packets.
</code></pre></div>
<ul>
<li><code>http</code> can be used to log to a remote web server. The server must be
properly configured to receive and act on log messages. The option
accepts the URL to the web server, and a <code>method</code> argument
indicating whether the message should be submitted using the GET or
POST method.</li>
</ul>
<div class="highlight"><pre><span></span><code><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a> http=http://my.server/path/to/logger,method=POST
</code></pre></div>
<p>The <code>log_format</code> option provides several alternative formats:</p>
<ul>
<li><code>color</code> - default format providing time, date and a message, using text colors to distinguish different log severities</li>
<li><code>plain</code> - same as above, but monochrome text only</li>
<li><code>syslog</code> - the log level and error message only, allowing the syslog system to attach the time and date</li>
<li><code>legacy</code> - a format similar to the one used by the legacy 2.3 InvokeAI releases.</li>
</ul>
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