description: <div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QQ3RaRDW344" start="0"></iframe></div><p></p><p>V1 <em>evaluation lora used to create a baseline.</em><br /><em>Training settings were refined for the next versions;</em> <br />V2 - ADAFACTOR, <em>Rank 16, Alpha 1</em><br /><em>V3 - Rank 32, Alpha 1</em><br /><em>v3b - rank 32, alpha 8</em><br /><em>v3c - rank 32, alpha 4</em><br />V4 - were all trained with ADAFACTOR using revised settings. <em>Rank 64, Alpha 1</em></p><p><br /><strong>Round 2</strong></p><p>V5 - Trained with ADAFACTOR with final settings, <em>Rank 32, Alpha 1</em>, reduced learning rate, LR 2e3</p><p><strong>Switched to PRODIGY</strong></p><p><span>V6-early = ADAFACTOR, Rank 32, Alpha 1<br />V6 = </span>ADAFACTOR, <span>Rank 32, Alpha 1</span></p><p><strong><span>offset noise 0.06</span></strong><br /><span>V7-early</span> = PRODIGY, Rank 64, Alpha 1<br />V7 = PRODIGY, Rank 64, Alpha 1</p><p><strong>initialD 1e-06</strong></p><p>V8-early = PRODIGY, Rank 64, Alpha 1<br />V8-mid = PRODIGY, Rank 64, Alpha 1</p><p>V8 = PRODIGY, Rank 64, Alpha 1<br /></p><p>as shown in the video, early Epochs seem to perform better beyond txt2img.<br /></p><p><strong><span style="color:rgb(255, 255, 255)">Study presentation:</span></strong><span style="color:rgb(255, 255, 255)"> </span><a target="_blank" rel="ugc" href="https://www.figma.com/file/NM9dSIwcKoyZpOSYqi4pKs/OneTrainer-Stable-Cascade-(LR-adjustment)"><span style="color:rgb(255, 255, 255)">https://www.figma.com/file/NM9dSIwcKoyZpOSYqi4pKs/OneTrainer-Stable-Cascade-(LR-adjustment)</span></a><span style="color:rgb(255, 255, 255)"> </span></p><p><strong><span style="color:rgb(255, 255, 255)">Models:</span></strong><span style="color:rgb(255, 255, 255)"> </span><a target="_blank" rel="ugc" href="https://civitai.com/models/320332"><span style="color:rgb(255, 255, 255)">https://civitai.com/models/320332</span></a><span style="color:rgb(255, 255, 255)"> Dataset: </span><a target="_blank" rel="ugc" href="https://github.com/MushroomFleet/assassinKahb-1024"><span style="color:rgb(255, 255, 255)">https://github.com/MushroomFleet/assassinKahb-1024</span></a><span style="color:rgb(255, 255, 255)"> </span></p><p><strong><span style="color:rgb(255, 255, 255)">Article:</span></strong><span style="color:rgb(255, 255, 255)"> Training Stable Cascade with OneTrainer </span></p><p><strong><span style="color:rgb(255, 255, 255)">OneTrainer:</span></strong><span style="color:rgb(255, 255, 255)"> </span><a target="_blank" rel="ugc" href="https://github.com/Nerogar/OneTrainer"><span style="color:rgb(255, 255, 255)">https://github.com/Nerogar/OneTrainer</span></a><span style="color:rgb(255, 255, 255)"> </span></p><p><strong><span style="color:rgb(255, 255, 255)">my preset for OneTrainer</span></strong><span style="color:rgb(255, 255, 255)">: </span><a target="_blank" rel="ugc" href="https://pastebin.com/tLri1HdU"><span style="color:rgb(255, 255, 255)">https://pastebin.com/tLri1HdU</span></a><span style="color:rgb(255, 255, 255)"> </span></p><p><span style="color:rgb(255, 255, 255)">.json file, place inside </span><em><span style="color:rgb(255, 255, 255)">OneTrainer\training_presets</span></em><br /></p><p></p><p>which are trained to compare the Rank setting.</p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ba182f3-50c1-4cb7-be0f-b5f6c30037b5/width=525/4ba182f3-50c1-4cb7-be0f-b5f6c30037b5.jpeg" /></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d5ec7e85-bc7b-4fe7-b00f-a5d16d0cd675/width=525/d5ec7e85-bc7b-4fe7-b00f-a5d16d0cd675.jpeg" /></p><p></p><h3 id="heading-7">test prompt:</h3><ul><li><p>AssassinKahb style a demonic looking skeleton holding a sword with red hair</p></li></ul><p></p><p><a target="_blank" rel="ugc" href="https://civitai.com/models/310409?modelVersionId=359739">txt2img-lora: workflow</a><br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb0227e0-359f-42a7-af7a-a9b0d4dff6e6/width=525/bb0227e0-359f-42a7-af7a-a9b0d4dff6e6.jpeg" /></p><p></p><p><a target="_blank" rel="ugc" href="https://civitai.com/models/310409?modelVersionId=359520">img2img-lora: workflow</a></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6d42f571-ee4d-4243-a2ec-7288bca2af13/width=525/6d42f571-ee4d-4243-a2ec-7288bca2af13.jpeg" /></p><p></p><p><a target="_blank" rel="ugc" href="https://civitai.com/models/310409?modelVersionId=359663">txt2img-vision-lora: workflow</a></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1aa772f2-a3d7-44fa-9ba4-c93354893f81/width=525/1aa772f2-a3d7-44fa-9ba4-c93354893f81.jpeg" /></p><p></p><p><a target="_blank" rel="ugc" href="https://civitai.com/models/310409?modelVersionId=359716">txt2img-remix-lora: workflow</a></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb76f8a6-4568-4047-819f-2543ca6ade3e/width=525/bb76f8a6-4568-4047-819f-2543ca6ade3e.jpeg" /></p><p></p><p>At the time of posting the Lora implementation is incomplete in most webUI's You will be able to use this if you have updated your ComfyUI to the latest version.</p>
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modelVersions.name: v1
modelVersions.publishedAt: 2024-02-24T21:29:53.143Z
modelVersions.trainedWords: AssassinKahb style
name: AssassinKahb [Cascade Test Lora]
tags: character stable cascade