description: <p>LoRA trained on Vampire Vamp from Yu-Gi-Oh!</p><p></p><p>tags: vampire vamp, 1girl, clothing cutout, navel, wings, pointy ears, cross, elbow gloves, red eyes</p><p></p><p>anime: <a target="_blank" rel="ugc" href="https://civitai.com/models/103584/coffee-donut">Coffee Donut - 2.1</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/9139?modelVersionId=25571">YesMix - v1.6 (original)</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/18927?modelVersionId=106822">Sweet-mix - v2.1</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/122637/zenith">Zenith - v3</a></p><p>2,5D: <a target="_blank" rel="ugc" href="https://civitai.com/models/58431/darksun">DarkSun</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/48671/dark-sushi-25d">Dark Sushi 2.5D</a></p><p></p><p>better hands LoRA: <a target="_blank" rel="ugc" href="https://civitai.com/models/47085?modelVersionId=55199">EnvyBetterHands LoCon - beta2</a></p><p></p><p>negative embeddings: <a target="_blank" rel="ugc" href="https://civitai.com/models/71961/fast-negative-embedding-fastnegativev2">Fast Negative Embedding (+ FastNegativeV2) - v2</a></p><p></p><p>Recommended settings:</p><ul><li><p>Make sure you are aware on the usage instructions of LORA</p></li></ul><ul><li><p>VAE: <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors">vae-ft-mse-840000-ema-pruned</a> (for realistic models &amp; 2,5D), <a target="_blank" rel="ugc" href="https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt">kl-f8-anime2</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/NoCrypt/blessed_vae/blob/main/blessed2.vae.pt">blessed2.vae</a> (for anime models)</p></li></ul><ul><li><p>Sampler: DPM++ SDE Karras or DPM++ 2M Karras(euler a for img2img upscaling) from time to time im also using <a target="_blank" rel="ugc" href="https://civitai.com/models/35966/dpm-2m-alt-karras-sampler">DPM++ 2M alt Karras</a></p></li><li><p>Steps: 20 to 35</p></li><li><p>Clipskip: 2</p></li><li><p>Upscaler : <a target="_blank" rel="ugc" href="https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111">GitHub - pkuliyi2015/multidiffusion-upscaler-for-automatic1111</a> <a target="_blank" rel="ugc" href="https://mega.nz/folder/qZRBmaIY#nIG8KyWFcGNTuMX_XNbJ_g/file/vRYVhaDA">4x-UltraSharp(for 2,5D &amp; realistic)</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/konohashinobi4/4xAnimesharp/tree/main">4xAnimesharp(for anime)</a></p></li><li><p>CFG Scale : 5 to 9 (mostly 7)</p></li><li><p>LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)</p></li></ul><ul><li><p>Denoise strength upscaling: 0.3 to 0.55</p></li></ul><p></p><p>If you want to autocomplete the tags &amp; trigger im using, I recommend using <a target="_blank" rel="ugc" href="https://github.com/DominikDoom/a1111-sd-webui-tagcomplete">Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI</a></p><p>For full body shots i recommend using: <a target="_blank" rel="ugc" href="https://civitai.com/models/33192/comfyui-impact-pack">ComfyUI Impact Pack</a></p><p>or the a1111 alternative <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">GitHub - Bing-su/adetailer</a></p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.downloadUrl: https://civitai.com/api/download/models/155249
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/155249
modelVersions.AutoV1: 527C6580
modelVersions.AutoV2: F1B35D5767
modelVersions.AutoV3: 235B90EF7A79
modelVersions.BLAKE3: 7A3FFB5119D55E62B357A363D9A3A758F6AD9EBBAF21BFFBB4D123F746671EC4
modelVersions.CRC32: BBFAD67F
modelVersions.SHA256: F1B35D5767DB56843A08A4BFCF7BEB4D5324C7D83FD9C06BCCCBCDA8147DD8BA
modelVersions.format: SafeTensor
modelVersions.name: ygo_vampire_vamp-000025.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-09-04T14:11:24.357Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: U6AvIa=|0J57~CSg0eIoxuxaMxr?-pNaIUV@
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4cc485cb-a2d3-4d2a-bcda-5a37fca22114/width=450/2353330.jpeg
modelVersions.hash: UFBC=U~WNZI:~X?bt7oz%M%Mt6t7tRtRt7t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/141350e2-7df6-45a7-8919-34ae9ec125af/width=450/2353338.jpeg
modelVersions.hash: UDC5uN}[E09u^j^QV@ax={%2wc$%?H-Us.s:
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e2558e93-92d1-4734-b9b6-d4ad9943bb10/width=450/2353660.jpeg
modelVersions.hash: U79sh[sV00I@~WNF0eo#EKNanixa%2sp$joJ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4d6044c2-1aba-46de-a9dc-9b7826615c69/width=450/2353331.jpeg
modelVersions.hash: U9A+~#^+0d56^+xb0d9YOYS39YRP~D%3xGjY
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/91249d77-888f-4999-8c48-3694434cdd53/width=450/2353329.jpeg
modelVersions.hash: UNEoDT~WJ*XS?a-pR%oztkxu%1-p?H%MxutR
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9889c535-2d7a-475f-86dd-7a52d6c33291/width=450/2353335.jpeg
modelVersions.hash: UFD[-C-px]IpDiM{0KbFR*f+ofxG~WkC%MWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ca1277dd-cd54-40a4-b550-c29af9efe592/width=450/2353332.jpeg
modelVersions.hash: URCPFys:55S4~WoL9ZWq%MjtIUoL%MayM{j]
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aec66e29-f9d1-4aee-ae00-f2a6cd31d056/width=450/2353336.jpeg
modelVersions.hash: U9D90b^l00Ej?G9Z00n%XnSh#.~BkUIoIUR+
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/35dd3bcb-6ecb-4170-bdbd-67d3916c6420/width=450/2353340.jpeg
modelVersions.hash: UgGI1Sxas:xH~qs:jso2_3kCj[of?bkCa}bH
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa979131-b7f0-488a-bb76-0937bc8d281f/width=450/2353339.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2023-09-04T14:36:20.702Z
modelVersions.trainedWords: vampire vamp, 1girl, clothing cutout, navel, wings, pointy ears, cross, elbow gloves, red eyes
name: Vampire Vamp | Yu-Gi-Oh!
tags: anime character vampire trading card yu-gi-oh! yugioh video game character woman video game vampire vamp