description: <p>This was more of an experiment to see if it is possible to train a LoRA with two or more separate characters, each invoked by a trigger word. Turns out it is possible, and the output is pretty good.</p><p>V1: Trained on the Realistic Vision 2.0 model, so that's what works best. <strong>CFG higher than 4.5 tends to deep fry the images, so suggested that it be kept below that. Steps = ~20. Weightage of 0.4-0.7.</strong></p><p><strong>Trigger words: </strong>evelynsharma, nehasharma</p><p></p><p>V2: This actually produces 5 different celebs, all with the last name sharma. This seems to work best with a clip skip of 2. This doesn't produce the same fidelity of images as V1, but was a fun experiment nonetheless.</p><p>5/28: Uploaded modified V2 model. Used regularization images in the training, which allows the LoRA to produce less baked images. </p><p></p><p><strong>Trigger words: </strong>aditisharma, anushkasharma, evelynsharma, nehasharma, tarasharma</p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.description: <p>Trained with 5 different celebrities</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/82248
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/82248
modelVersions.AutoV1: 01D74421
modelVersions.AutoV2: C1851D0308
modelVersions.AutoV3: 7DC9D91CED17
modelVersions.BLAKE3: C49CCEE91C37A72A8E9344670320402AEBA56D070768214E04B27AB632B21B98
modelVersions.CRC32: 6175BE8C
modelVersions.SHA256: C1851D03082D0FECDD693FCDF9360AEF30DBA01467F3B7C6E50881E1D4524D80
modelVersions.format: SafeTensor
modelVersions.name: 5sharmas.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-05-28T18:10:39.120Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UGAwCxIU4ox]~qM{9Gxu?bM{IUxu-;RjM{t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/22b77f14-24c6-4cf2-996a-15ad546d760f/width=450/926288.jpeg
modelVersions.hash: UoGSZMo3?vMxcub^NyoI-=i{w]NGtSoKadkC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9af3f0a4-ab93-4578-92ce-1d89319233c9/width=450/924699.jpeg
modelVersions.hash: UXIqv0?H?w$1T#K65XoI5@E2$+i^S7$%$%Io
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7d7eeac8-3b17-42e2-aea9-ab135a595f0a/width=450/924702.jpeg
modelVersions.hash: UGAwCxIU4ox]~qM{9Gxu?bM{IUxu-;RjM{t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/01055c32-51c0-45ab-91a8-560693e980bc/width=450/926194.jpeg
modelVersions.hash: UKGbCY~V0L4.4.NF-:x@MxIoNd%LyBxtn5nP
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/83754dcb-bd36-474b-a934-7344429f3a9c/width=450/956477.jpeg
modelVersions.hash: U58Wy.~oo{-p^*^*-:oy-:-o?F%1%M?G-Uoy
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5760892b-f227-4be9-8a69-69fcd5bb0948/width=450/926177.jpeg
modelVersions.hash: USG@ul~BNa%1odjZWC9txaofs:oLNHIpaes:
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9751a260-6331-4629-89a2-b330097fce8f/width=450/956478.jpeg
modelVersions.hash: UCDIqFW903%d0Naw~pR%D$WC01RkIAkDnNxI
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/457ab878-189e-47de-9c46-348661bdf8b7/width=450/926175.jpeg
modelVersions.hash: U48p=P039u56wiNG%L0fxrD*-oRlkp9G~B%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f5088f4a-19e2-4ef8-87cf-0883783950ca/width=450/926196.jpeg
modelVersions.hash: UEDIB*-n01Vt0LRj~B?GxF%1$*IVs:s:oJRj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/366e5e8b-bda2-4dc3-a254-fe919c5f7af6/width=450/947536.jpeg
modelVersions.hash: U5BL-K^P1aAX0f02$N-V0y-.}ZV[D*~BKN5Q
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ee509034-3fb9-4924-be06-98ad5067e19f/width=450/947589.jpeg
modelVersions.hash: UCCE]|}@4;IV5RS}?Fn%MeM{oy%1FwNGE2X8
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/899dfe1a-66fb-4a0a-b408-2f71c9cc312d/width=450/947532.jpeg
modelVersions.hash: U8Ci8Xk;00VZ00IB~pyD-o-o-BE2ENxtNGD*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f61586e0-6f7d-486f-8d7e-b984d4ba82a0/width=450/947585.jpeg
modelVersions.hash: UHFXt]~U0fE2E1S1%Ls:9uM|IWWXE3R+X5R*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8240f4b8-7760-48f6-bb68-837313c9efee/width=450/947530.jpeg
modelVersions.hash: UYIW=r~V=}E3e.E1xZxaxukDofs:s.WBWBxZ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/229c219d-7114-4a69-a452-010736b2ec50/width=450/956442.jpeg
modelVersions.name: v2.0
modelVersions.publishedAt: 2023-05-26T23:16:35.356Z
modelVersions.trainedWords: aditisharma anushkasharma evelynsharma nehasharma tarasharma
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.downloadUrl: https://civitai.com/api/download/models/76272
modelVersions.downloadUrl: https://civitai.com/api/download/models/76272
modelVersions.AutoV1: FDF72610
modelVersions.AutoV2: FA48E61A16
modelVersions.AutoV3: 236E71F487E4
modelVersions.BLAKE3: 21139A11244C7D501EE48A302B20A2FFD512E0CE7C0D0EB6746DC3FA49A6D2EC
modelVersions.CRC32: B1F35664
modelVersions.SHA256: FA48E61A16581B896A111B15442D389F237FBD71C434B7B605F399DEE32BCE54
modelVersions.format: SafeTensor
modelVersions.name: sharmas2.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-05-20T21:51:08.961Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: U9G*vt000BN900V|?b-:00~UseoEx^R;xvWY
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b7db4350-3bc4-4bbe-b11d-f579c1491481/width=450/855903.jpeg
modelVersions.hash: UMHmZn}N0qrV1SEItmJzR6kEnPM|WSxcInNL
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0afd2617-6f68-440c-a751-9e21b53e84fd/width=450/855881.jpeg
modelVersions.hash: UEF}p40M1P=|01?bS%^*?wsm-o580fX9^+Vr
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6cffe7f5-052b-4a34-9127-db2a98156502/width=450/853817.jpeg
modelVersions.hash: UII3:z}c04a$1aG9?tI:#tv*;g=|0{S|xtNG
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b228a571-abf5-4792-b7ca-1fc4e842e851/width=450/853831.jpeg
modelVersions.hash: UWLCbo.87dZhLzxbwKRPF_WBv~kC#8v$XRS~
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d5097a09-2654-4941-a432-2a5cbed2bc32/width=450/853741.jpeg
modelVersions.hash: UWLCbo.87dZhLzxbwKRPF_WBv~kC#8v$XRS~
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/61bfc4a1-61be-48d7-9d46-e033f0f325b0/width=450/853535.jpeg
modelVersions.hash: UXFhO}S~Nx~BNat7s:M|f+s:ayIpbaR*jZoe
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/25fef427-56a2-4263-be75-0d6dec84a37b/width=450/853536.jpeg
modelVersions.hash: UJJaAk0f5q^j0N-:-:xZ~ps.-VIo4:X9%LRj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ff71d3fe-685f-467e-81ed-3c4e98e00a10/width=450/853591.jpeg
modelVersions.hash: UAHx7]ysPW^*K6IUkW$z5T={j[IU?bn$=_0L
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/68162a5b-bfc4-4487-ac0c-d30f330c1d34/width=450/853592.jpeg
modelVersions.hash: UFELW=0}Nf~BTu#RACM|0x=ySJWWv+PA=|og
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/243eaffe-e5ed-43fc-b5e6-ce870aa22695/width=450/867744.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2023-05-20T21:51:33.497Z
modelVersions.trainedWords: evelynsharma nehasharma
name: Multi Sharma
tags: photorealistic female bollywood indian woman celebrity