description: <p>Trained for 2000 steps with: "#:0.41|~maniacal laughter:0.2|^maniacal laughter:0.05" using <a target="_blank" rel="ugc" href="https://github.com/ntc-ai/conceptmod">https://github.com/ntc-ai/conceptmod</a><br /><br />animations with lora value from 0.0 to 1.8. All examples use the trigger phrase: "maniacal laughter"<br /><br /><em>Words are pale shadows of forgotten names. As names have power, words have power. Words can light fires in the minds of <s>men</s> stable diffusion models.</em><br /><br /><strong>Tutorial:</strong><br /><br />This tutorial is technical. For a much easier path, follow <a target="_blank" rel="ugc" href="https://civitai.com/models/58873/conceptmod-tutorial-fire-train-any-lora-with-just-text-no-data-required">https://civitai.com/models/58873/conceptmod-tutorial-fire-train-any-lora-with-just-text-no-data-required</a> and run on runpod.  It's cheap. $5 to train a model and &lt;$1 to create animations.</p><p><strong><br />Local installation (technical)</strong><br /><br />Requires 20 GB vram<br />0) Install a111<br />1) git clone <a target="_blank" rel="ugc" href="https://github.com/ntc-ai/conceptmod.git">https://github.com/ntc-ai/conceptmod.git</a><br />2) cd conceptmod<br />3) edit train_sequential.sh and add your training phrase (see above)<br />4) install dependencies (see <a target="_blank" rel="ugc" href="https://github.com/ntc-ai/conceptmod#installation-guide">https://github.com/ntc-ai/conceptmod#installation-guide</a> ) and ImageReward <a target="_blank" rel="ugc" href="https://github.com/THUDM/ImageReward">https://github.com/THUDM/ImageReward</a><br />5) train the model with <code>bash train_sequential.sh</code>(takes a while)<br />6) once you are successfully training you will save a new checkpoint into <code>models</code> , there will be samples during training if you have enabled them in the <code>samples</code> directory.<br />7) mv the models to a a111 models path: <br />`mv -v models/*/*.ckpt ../stable-diffusion-webui2/models/Stable-diffusion/0new`<br />8) extract the lora with sd-scripts <a target="_blank" rel="ugc" href="https://github.com/kohya-ss/sd-scripts">https://github.com/kohya-ss/sd-scripts</a> (requires new conda env)<br />here is the script I use to create loras of everything in a directory. replace dir and basemodel with yours. Run it in the sd-scripts project.<br /><a target="_blank" rel="ugc" href="https://github.com/ntc-ai/conceptmod/blob/main/extract_lora.sh">https://github.com/ntc-ai/conceptmod/blob/main/extract_lora.sh</a><br /><br />9) Start a111 webui.py with '--api'.<br />10) Create the animations<br />I used:<br />&gt; python3 lora_anim.py -s -0.0 -e 1.8 -l "mania" -lp ", maniacal laughter" -np "nipples, weird image." -n 32 -sd 7 -m 2.0<br /><br />If you create something with this, please tag it '<em>conceptmod</em>'<br /><br />-<br /><br />React!: <a target="_blank" rel="ugc" href="https://civitai.com/user/ntc/images?sort=Most+Reactions">https://civitai.com/user/ntc/images?sort=Most+Reactions</a></p>
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name: mania - concept trained without data (local install tutorial - technical)
tags: guide conceptmod