description: <p><strong>This is my first time releasing a LoRA and I kind of don't know what I'm doing, so all sorts of criticism and tips and whatnot is very welcome.</strong></p><h1 id="remert-legacy-mm1axcir8">Remert Legacy</h1><p>My main goal was to train a style LoRA that doesn't create extremely large, hyper-muscular, very narrow-waisted characters compared like the <a target="_blank" rel="ugc" href="https://civitai.com/models/517833/remert-styles-2-vers-ponysdxl">more modern style LoRA</a> and only adheres to more realistic body proportions on default. I have also sorted through the dataset to make it so it's possible to create specific characters (with varying rate of success).</p><h2 id="general-usage-srbq4bdat">General usage</h2><p>This isn't a must-use guide, <strong>you should experiment with it on your own</strong> to find what works best for you, but my general tips/findings are:</p><ul><li><p>Despite my attempts, on some occassions you will get a character with a narrow waist, except the effect won't be extreme, and adding "narrow waist" in the negative prompt will not do anything. It's just how the style is like, especially with muscular characters. If you include tags like "big muscles, big pecs, thick arms" in the prompt you can also boost that effect (bigger muscles = thinner waist). I found that using character tags (by including either "<strong>tf2</strong>", "<strong>left4dead</strong>" in the prompt or just generating specific chars) helps mitigate the effect the most.</p></li><li><p>It's supposed to be designed specifically for <a target="_blank" rel="ugc" href="https://civitai.com/models/257749/pony-diffusion-v6-xl">Pony Diffusion V6</a>, but (at least from my knowledge) the general rule of thumb is that it should work with other SDXL checkpoints as well.</p></li><li><p><strong>Recommended weight of the LoRA:</strong> 0.8-1.0<strong> </strong>(but obviously if you use more than this style LoRA, you should probably lower it even more)</p></li><li><p><strong>CFG Scale:</strong> 7 (6-8 should work nicely as well)</p></li><li><p><strong>Any sampling method should work well</strong>, my favourites are Euler a Karras and DPM++ 2M SDE Karras</p></li><li><p><strong>Steps:</strong> 25-40 (in my experience 27 or 37 works best)</p></li><li><p><strong>Clip Skip:</strong> 1-2 (but in my experience I never found any difference)</p></li><li><p>During my testing it liked to draw hands with four digits or with very little detail on them, but putting "<strong>five digits</strong>" in the positive prompt <em>and/or</em> putting "<strong>four digits, missing digits, extra digits</strong>" in the negative can help. I recommend using <strong>adetailer </strong>or manually fixing the fingers on your own even if that doesn't work.</p></li><li><p>Faces in general usually look bad when making images with keywords like "full body, low angle". I don't use any upscalers so maybe that's my problem. Again, I highly recommend adetailer.</p></li><li><p>Back muscles can rarely look disfigured and unsymmetrical.</p></li><li><p>Should work best with <strong>human characters</strong>. Furries <em>might </em>work, but it still could draw human skin on the character.</p></li><li><p>It has a trigger word - "<strong>r-l</strong>", but when prompting for a muscular, masculine male character with body hair you it most often works without it. <strong>Try experimenting with and without the trigger word.</strong></p></li><li><p>"<strong>Sunglasses</strong>" on their own create glasses with an orange tint. Just use "<strong>black sunglasses</strong>" if you want actual glasses.</p></li><li><p>If prompted correctly, it should be able to make SFW images as well. I find that most commonly I get generated images with nudity and out of frame censorship.</p></li></ul><h2 id="specific-characters:-z3culntzw">Specific Characters:</h2><p>As an experiment, I've tried to tag the dataset in such a way that the LoRA should allow me to generate some specific characters. A lot of them simply don't work because they only have one or two images with them. I'm gonna include the ones that work best as trigger words. Most noteable (those that work) are:</p><h3 id="team-fortress-2-characters:-e0ytlc6mv">Team Fortress 2 Characters:</h3><p>(You can use the "tf2" keyword to specify all of them at once, don't know how useful it might be, though.) Sniper, Soldier and Heavy might work best. Engie - not so much, sadly.</p><ol><li><p><strong>Soldier </strong>- soldier_tf2 (I recommend adding "helmet" and "covered eyes" for the helmeted look, but it might sometimes give him a cloth over his head)</p></li><li><p><strong>Sniper</strong> - sniper_tf2</p></li><li><p><strong>Heavy</strong> - heavy_weapons_guy</p></li><li><p><strong>Engineer</strong> - engineer (try including things like "bald, goggles, hard hat")</p></li></ol><h3 id="left4dead-characters:-70w3e56w5">Left4Dead Characters:</h3><ol><li><p><strong>Francis</strong> - francis</p></li><li><p><strong>Hunter</strong> - hunter (but this probably only works well with "hoodie" or "naked jacket" included)</p></li></ol><h3 id="naruto:-ztjlwdcc3">Naruto:</h3><ul><li><p><strong>Shikamaru Nara</strong> - shikamaru</p></li></ul><h3 id="resident-evil-characters:-ui0sff419">Resident Evil Characters:</h3><ul><li><p><strong>Lucas Baker</strong> - lucas</p></li></ul><h3 id="detentionaire-characters:-ev7osrwfc">Detentionaire Characters:</h3><p>In general, specific characters (duncan, biffy, trevor, steve, emmett as well as texas from motorcity) don't work very well, if at all, but putting "<strong>detentionaire</strong>" in the prompt can give cartoony, flat faces.</p>
modelVersions.availability: Public
modelVersions.baseModel: Pony
modelVersions.description: <p>If I set this up correctly, this should be the 21st Epoch of the LoRA. I find that it looks best and gives the results intended it to give.</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/703738
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/703738
modelVersions.AutoV1: 09394495
modelVersions.AutoV2: 126AAB086E
modelVersions.AutoV3: CAB993699F3C
modelVersions.BLAKE3: 4CBB35E2C5671A2D084DB7E67F941886DDA9951BA6DD22BFEFB6643D515ED8E2
modelVersions.CRC32: D4C7692C
modelVersions.SHA256: 126AAB086E749DDE01702C8D234451D511BD555B0CD0D7961D4AF7D490F970BE
modelVersions.format: SafeTensor
modelVersions.name: remert-legacy_style-000021.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-08-08T08:27:07.829Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.downloadUrl: https://civitai.com/api/download/models/703738?type=Training%20Data
modelVersions.AutoV1: 4FF7130D
modelVersions.AutoV2: 474E63EF69
modelVersions.BLAKE3: E91FE3CB2D97659515FF26A2423FE4BAB82711953359C856527C2D8F2A845A75
modelVersions.CRC32: B1F9F52B
modelVersions.SHA256: 474E63EF6945A344C8CE28E2150120ABDD95C3C0B0C2A7A9799C56EB3A4F6A9F
modelVersions.format: Other
modelVersions.name: 703738_training_data.zip
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-08-07T13:46:53.218Z
modelVersions.type: Training Data
modelVersions.virusScanResult: Success
modelVersions.hash: UEL:+exv2e}S02Tfm6VC2fJCo~%00nI9TetR
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/40ace796-234e-43f3-9fd2-4d48a9f05005/width=450/23322605.jpeg
modelVersions.hash: U9LL|2005PQ.}80M^j=|00tmxY9F0eIU?a=d
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ca0dcc56-6729-46c6-b961-dde0faa72739/width=450/23317926.jpeg
modelVersions.hash: UQM6Yg^+FfaK.mOY-pV@Egr=oIaKn$NGM{f,
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bf41ed07-78cf-4687-952a-a0791c614875/width=450/23327042.jpeg
modelVersions.hash: UJIMl~~plA~B%Mo~S~={5RIpIpM{9tRPNHVs
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bd043604-4ca1-4b00-806f-237787a3fa95/width=450/23327745.jpeg
modelVersions.hash: U7KKH2000;~qr;.8W?IU2|^O^Oo~01S~NHR5
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7527a7e3-9e0b-442c-97ac-238695844745/width=450/23318493.jpeg
modelVersions.hash: UCHwrh~U009G0gEMIVV@00RQ~BtQs:%1^jNH
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5019696c-6857-413f-a136-f2571e5ce183/width=450/23328648.jpeg
modelVersions.hash: UOJ%CI}[-;og%j%2Nys;PDI:=xWB-qNGNaNG
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e803df47-c695-4e21-90b2-157db2c7e685/width=450/23318335.jpeg
modelVersions.hash: UJNuq%9cKk=|yYxZt,W=4=tQ%Lrq~UWYROIp
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8de02709-70c5-4ae3-a729-3bf633013262/width=450/23318784.jpeg
modelVersions.hash: UCINN=EL?GR*b^%2-pxa01%Mbbt6~Bozt7WB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6816b7a9-2c6b-4769-926b-1395ab42512e/width=450/23318645.jpeg
modelVersions.hash: UZKe4Vx]P;niNgkCMyi_E4VYr?ofK7kCt8WC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9611d2cd-7683-40d6-bee2-5b338c046ec1/width=450/23318742.jpeg
modelVersions.hash: U7By]d=uDiRPoz=_=YWB};$$o0M|H=-UXSNI
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bfff612f-a819-492a-82e4-47697452cd4f/width=450/23318795.jpeg
modelVersions.hash: UGIpC?570}}@s:-U}@Ip0f%1soRjI;Ip#,R*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c7e3c4c6-d94b-49bf-853d-945ce5a4ec9f/width=450/23325269.jpeg
modelVersions.hash: UeG+B%xu=|RkT}WXT0xZ^,a}t8R*O[S5Nbad
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b551d15b-62f2-4619-9c1f-eca36e1626a1/width=450/23325362.jpeg
modelVersions.name: Epoch 21
modelVersions.publishedAt: 2024-08-08T12:56:25.373Z
modelVersions.trainedWords: r-l tf2 soldier_tf2 sniper_tf2 heavy_weapons_guy engineer left4dead francis shikamaru detentionaire
name: Remert Legacy - Sniperstalker/Old Remert Style [Pony]
tags: porn gay bara style yaoi male muscle