description: <p>Trained for 2000 steps on:<br />#|fire%{random_prompt}, fire:-0.1|fire++:guidance=2<br /><br />animations use lora strength 0.0 to 1.1 with the trigger word <strong>fire</strong><br /><br />Here's how:<br />Use the runpod at <a target="_blank" rel="ugc" href="https://runpod.io/gsc?template=8y3jhbola2&amp;ref=xf9c949d">https://runpod.io/gsc?template=8y3jhbola2&amp;ref=xf9c949d</a></p><p><br /><strong>1.</strong> <strong>Create a pod</strong><br /><br />I chose a 3090. It needs &gt; 20 GB ram.<br />Don't encrypt your volume, container disk defaults to 5 gb and volume disk to 50 gb, these are fine<br />click <strong>Continue</strong><br /><br />It will take a few minutes to download conceptmod, once Connect becomes enabled, you are ready to continue.<br /><br /><strong>2.</strong> <strong>Login to the web console</strong><br /><br />"Connect", SSH or "Start web console" and connect to it.<br /><br />Once you log in, it will install dependencies (take a minute) then output a welcome message.</p><p><br /><strong>3.</strong> <strong>Send over your the base model checkpoint that you want to train on:</strong></p><p><em>Note</em>: be sure to use a safetensors checkpoint.<br /><br />Using <a target="_blank" rel="ugc" href="https://github.com/runpod/runpodctl">https://github.com/runpod/runpodctl</a><br /><br /><em>on local</em>:<br /><br />runpodctl send mycheckpoint.safetensors<br /><br /><em>on pod</em><strong>:</strong><br /><br />cd /workspace/stable-diffusion-webui/models/Stable-diffusion/<br />runpodctl receive &lt;code from send&gt;<br /><br /><em>Note</em>: You can also use scp, wget or a cloud storage attachment to transfer your model<br /><br /><strong>4.</strong> <strong>Train on your phrase (takes 3 hours for 1000 steps)</strong><br /><br />cd /workspace/sd-scripts</p><p>python3 train-scripts/train-esd.py --prompt "#|fire%{random_prompt}, fire:-0.1|fire++:guidance=2" --train_method selfattn --ckpt_path /workspace/stable-diffusion-webui/models/Stable-diffusion/mycheckpoint.safetensors</p><p><br />It saves every 300 steps, which is about an hour.<br /><em><br />Selecting a phrase</em><br /><br />Look at the models here and find one to modify: <a target="_blank" rel="ugc" href="https://civitai.com/tag/conceptmod?model=58873&amp;sort=Newest">https://civitai.com/tag/conceptmod?model=58873&amp;sort=Newest</a><br /><br /><strong>5. Extract the lora</strong><br />bash /workspace/conceptmod/docker/extract_lora.sh /workspace/stable-diffusion-webui/models/Stable-diffusion/&lt;mycheckpoint&gt;.safetensors<br /><br />The argument is your base checkpoint from (3).<br /><br /><strong>6. (optional) Test the lora in webui</strong><br /><br />Your model (and the training intermediates) will now be available in webui as a lora. Select your base model from (3) and apply the lora to figure out what the strength should be.<br /><br />Freeze the seed to manually see how lora strength changes the model.<br /><br />For ease of use:<br /><br />cd /workspace/stable-diffusion-webui/Lora<br />mv compvis-word_firefire%\{random_prompt\}-0.1-metho.safetensors fire.safetensors<br /><br /><strong>7. (optional) Create animations to show how your lora changes the images<br /></strong><br /><br /><strong>choice a)</strong> <strong>To create an animation on your prompt:<br /></strong><br />python3 lora_anim.py -s 0.0 -e 0.7 -l "fire" -p "fire prompt" <br /></p><p>-s is starting lora strength</p><p>-e is ending lora strength</p><p>-l "fire" is your lora</p><p>-p "fire prompt" is your prompt<br /><strong><br />choice b) To create one animation using a top 80k prompt appended with your trigger (like these previews)</strong>:<br /><br />python3 lora_anim.py -s 0.0 -e 0.7 -l "fire" -lp ", fire" <br /><br />prompt defaults to <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts">https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts</a></p><p>-lp ", fire" is your trigger.</p><p><strong><br />Run continuously for many videos</strong></p><p><br />while true; do python3 lora_anim.py -s 0.0 -e 0.7 -l "fire" -lp ", fire"; done<br /><br />Break with ctrl-c. The animations are in the v4 directory as mpv files.<br /><strong><br />Transfer your videos:</strong></p><p>on pod:</p><p>runpodctl send v4</p><p><br />on local:<br />runpodctl receive &lt;code from send&gt;<br /><br /><strong>8. Download the lora</strong><br /></p><p>on pod:</p><p>runpodctl send /workspace/stable-diffusion-webui/models/Lora/<br /></p><p>on local:</p><p>runpodctl receive &lt;code from send&gt;<br /><br /><strong>9. Stop and terminate the pod to stop paying money<br /></strong><br />on <a target="_blank" rel="ugc" href="https://runpod.io/console.pods">https://runpod.io/console.pods</a> , stop and terminate the running pod<br /><br /><strong>10.</strong> <strong>Post the lora to civitai with the tag conceptmod.</strong><br /><br />Include your training phrase for a 5 star review.<br /><br /><a target="_blank" rel="ugc" href="https://civitai.com/tag/conceptmod?model=58873&amp;sort=Newest">https://civitai.com/tag/conceptmod?model=58873&amp;sort=Newest</a></p>
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