description: <p><span style="color:rgb(193, 194, 197)">Background concept + style by artist </span><a target="_blank" rel="ugc" href="https://www.pixiv.net/en/users/19106776"><strong><u><span style="color:rgb(0, 42, 255)">Ayuli2424</span></u></strong></a></p><p></p><p><a target="_blank" rel="ugc" href="https://tensor.art/models/753735622205734999/Deep-urbanized-city-background-SDXL-v0.92-XL"><u>Tensor.art</u></a></p><p></p><p><strong><u>All images have a prompt you can look at and choose what you are interested in.</u></strong></p><p></p><p>I'd be happy if you'd like to <strong>follow</strong> my work.</p><p></p><p>Minimum recommended steps: <strong>28</strong></p><p></p><p>Trigger word: <strong>a0b</strong></p><p></p><p>So looking at the artist's work you'll see what I mean by <span style="color:rgb(193, 194, 197)">background concept</span>, variants with depth were selected, so this lora makes the city deeper if you will. SD 1.5 does not hesitate to make the city as deep as possible going into the void. The rest of the models, still prefer a 1 level decrease in standard prompt. So it's both background and concept.</p><p><strong>Possible problems/Non-obvious points:</strong></p><p>I'd say that despite the detachment of some things, the model still likes to put them in, namely: <strong>stairs, railings, lanterns</strong></p><p>Use those words in negative prompt if you want less of that.</p><p></p><p><strong><span style="color:rgba(255, 255, 255, 0.85)">v0.92 Animagine XL*</span></strong></p><p></p><ul><li><p><strong>*In a few days the sdxl version will be available on civit, but in the meantime I would be very grateful if you could generate it </strong><a target="_blank" rel="ugc" href="https://tensor.art/models/753735622205734999/Deep-urbanized-city-background-SDXL-v0.92-XL"><strong>on tensor.art</strong></a><strong> it would help me a lot. The model is also available there for download.</strong></p></li></ul><p></p><p><span style="color:rgba(255, 255, 255, 0.85)">Recommended weight: </span><strong><span style="color:rgba(255, 255, 255, 0.85)">0.7-0.9 (0.9)</span></strong></p><p></p><p><span style="color:rgb(193, 194, 197)">Recommended words: </span><strong><span style="color:rgb(243, 244, 246)">scenery, from above, outdoors</span></strong></p><p><span style="color:rgb(243, 244, 246)">Also: </span><strong><span style="color:rgb(243, 244, 246)">architecture, deep cityscape, lantern, lance vines, overgrown, night, deep wide shot</span></strong></p><p></p><p>Differences from <strong>v0.901 PDXL</strong>:</p><p>Many people know that pony v6 doesn't work well with backgrounds, so sdxl backgrounds tend to be better in everything, more stable, prettier. I haven't found any disadvantages to using in <strong>scenery</strong> variant, but maybe with characters, especially concrete sdxl will handle worse. Specifically lora is absolutely identical, but:</p><p><span style="color:rgba(255, 255, 255, 0.85)">Training on Animagine XL v3.1</span></p><p><br /><strong>v0.901 PDXL</strong><br /></p><p><strong><u>Check Checkpoints out at Recommended Resources (right)!</u></strong> It lists models that do a good job with the background. <strong>Mugenmalumix v41 Delorean<span style="color:rgb(255, 253, 245)"> </span></strong><span style="color:rgb(255, 253, 245)">has been removed from civit</span>, but it is available <a target="_blank" rel="ugc" href="https://yodayo.com/models/2d83a1c0-1e3e-4b45-bd46-5134852438d8/?modelversion=92765a1f-d13f-45fb-ab62-d3ddf0e3827f">here </a>and can be downloaded. I found it to be the best for working with my lora.<br /><br /><span style="color:rgba(255, 255, 255, 0.85)">Recommended weight: </span><strong><span style="color:rgba(255, 255, 255, 0.85)">0.7-0.9 (0.9)</span></strong></p><p></p><p><span style="color:rgb(193, 194, 197)">Recommended words (the same like at sdxl): </span><strong><span style="color:rgb(243, 244, 246)">scenery, from above, outdoors</span></strong></p><p><span style="color:rgb(243, 244, 246)">Also: </span><strong><span style="color:rgb(243, 244, 246)">architecture, deep cityscape, lantern, lance vines, overgrown, night, deep wide shot</span></strong></p><p><span style="color:rgba(255, 255, 255, 0.85)">Training on Pony diffusion v6</span></p><p></p><p>I <strong>don't</strong> recommend using this lora with <a target="_blank" rel="ugc" href="https://civitai.com/models/376395/worldly-xl-or-anime-scenery-lora"><strong>Wordly XL</strong></a><strong> </strong>you can try reducing the weight of both options for compatibility, but I have not been able to see any particular improvement. I recommend you to try different popular styles it can improve the qualit</p><p><br /><br /><strong>v0.921 SD 1.5</strong><br /><br />Recommended weight: <strong>0.5-0.8 (0.65)</strong></p><p>some models have overcook, so it is recommended to use a weight of 0.6 or lower there.</p><p>Minimum recommended steps: <strong>26</strong><br />Trained on AnyloraMix checkpoint.</p><p></p><p>Differences from <strong>SDXL</strong>:</p><p>Give SD 1.5 a chance, yes it is much less stable, but it has a rich variation</p><p><br /><strong>highly</strong> recommended to use <strong>hiresfix</strong>.<br /><br /><span style="color:rgb(193, 194, 197)">Recommended words (the same like at sdxl): </span><strong><span style="color:rgb(243, 244, 246)">scenery, from above, outdoors</span></strong></p><p><span style="color:rgb(243, 244, 246)">Also: </span><strong><span style="color:rgb(243, 244, 246)">architecture, deep cityscape, lantern, lance vines, overgrown, night, deep wide shot</span></strong></p><p>(Not all of them can have a strong effect)<br /></p><p>I like the way lora works, but I think future versions will focus on more depth in the scene, bypassing the plants and that style.</p>
modelVersions.availability: Public
modelVersions.baseModel: Pony
modelVersions.description: <p>PDXL ver</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/682147
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/682147
modelVersions.AutoV1: CC4388EC
modelVersions.AutoV2: 82AF880356
modelVersions.AutoV3: 566B83965DFA
modelVersions.BLAKE3: DE7777F5FD3E4D96E8D654413D0048258DA2DA7884A5A2321867C5A6C4101A04
modelVersions.CRC32: 54277E1E
modelVersions.SHA256: 82AF8803561E8D4CE3F8C99483C0A134257F48560B9508803B6B3A3BFAC53DEB
modelVersions.format: SafeTensor
modelVersions.name: Ayuli2424PDXL32v0.901tx1-000009.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-07-30T01:51:45.641Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UEFiV#Mf00W-^%Z%TJpa01S%-W%0*II:Q--o
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dbaaefee-e005-47e5-91fb-b7b6472815eb/width=450/21947760.jpeg
modelVersions.hash: UcHwr$RjE2NF~WRkM|Rj-;RkNGn*S~axn$WX
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/13957516-0aa2-43b6-9160-e2b6df989f2c/width=450/21938865.jpeg
modelVersions.hash: UI8;4Uo$NExc?Kf,NEs;t9R*RioMRjRiadoM
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f40f42a-801c-4459-9155-4aa676de6755/width=450/21938632.jpeg
modelVersions.hash: UAC$r=,V00AITe4:Md~V5BxtR5of-:s:E1o}
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6c89e9e4-fa50-4162-8191-1db39151492a/width=450/21938751.jpeg
modelVersions.hash: UPEVvfb:IA#s.h-oVuNZ-o$xNGo#=raKS6%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/07cb5315-f278-4602-89e4-ec0366bd7e4a/width=450/21938866.jpeg
modelVersions.hash: UAC~k=}[000e_N-;0LD%0MSgMyw{w]D*r=oz
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dcc8a94e-91e4-41d2-830d-b6f9044f2305/width=450/21938842.jpeg
modelVersions.hash: U6GkXf?c01iIX-.7~Coa00-U%0Nw00Q.K0EM
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9bfe0b42-9bd4-4912-a299-c0c80e633bd7/width=450/21938711.jpeg
modelVersions.hash: UBG*A#_15R-n_L^%-Tbb02NbS~j[00E2^%S2
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fe3baf52-c944-45af-848d-fbb48b3c63dd/width=450/21938867.jpeg
modelVersions.hash: U8Exw$Dj0059%g57wJ={9~xu00?Fxa~A01EQ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/808def5a-ec1a-464b-94db-0cf023d271c2/width=450/21938869.jpeg
modelVersions.hash: UBCFx1E300%M7ORiiatR0:xY}kNe~AW;9aoy
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cf39eb95-37e3-4a19-a3ec-d896a75d3c71/width=450/21938926.jpeg
modelVersions.hash: UBDd5z:N057~Ba4Twf_LD?n#oyxu^}tjE2f+
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/52150c17-f722-4957-88d1-112ede1138e8/width=450/21938924.jpeg
modelVersions.hash: ULGIZKQS01hLu6DixB?c0NS2-nwzxB%2R+E2
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2aea6ff5-6687-44e6-bcfa-97955fe9eb80/width=450/21938928.jpeg
modelVersions.hash: U9CGxov000Y7uh9ZHZ?v9aX-8{e@~o%09a9H
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6e2b5c8d-bbdb-4f3e-ae30-e09d17a60a97/width=450/21938930.jpeg
modelVersions.hash: U47dg:~60M0iyEs*V?NL039b-n^%4pIW-o?F
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f75f5c01-913d-4883-95c0-19ecf50d568c/width=450/21938931.jpeg
modelVersions.hash: UIFZ7t*x00B?y;ICZi.74?Osw@w0$,x=E2IX
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a108198a-eb13-4fc7-8a3e-eb76c1e5e07f/width=450/21938934.jpeg
modelVersions.hash: UC8}A1of9bWX*0j[enj[04WC-ToLDOafbbay
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4a66fd21-4096-467e-b623-15f5cabd9b1d/width=450/21939001.jpeg
modelVersions.hash: UpNK9g_3~qV@?bM{j]M{x]t7RPWB-pM{R*xt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7cc67998-2f36-4ce7-baa4-e96d6565422a/width=450/21938998.jpeg
modelVersions.hash: UJA,hJXSE2r:Y8j?xZSLE1jYxtW?rAoMNen$
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/23cc39c8-c5ee-49b9-ad82-2e8f1399b6cb/width=450/21939021.jpeg
modelVersions.hash: UPDkunRj57xa~BsmELI?xbxFNGR+e@j?S1oL
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b1b04e5d-6227-4365-b2f1-3735d0a769b2/width=450/21942725.jpeg
modelVersions.hash: UDD8?$0MSNg3~UE2$$tQEO$%jsxW=vX7NxRj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7e6f0f72-cced-4610-a15b-215c6f5c20a3/width=450/21942643.jpeg
modelVersions.name: v0.901 PDXL
modelVersions.publishedAt: 2024-07-30T02:00:00.000Z
modelVersions.trainedWords: a0b from above scenery architecture, deep cityscape, overgrown, deep wide shot
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.description: <p>Recommended weight: <strong>0.5-0.8 (0.65)</strong></p><p>Give this version a chance.</p><p>Trained on AnyloraMix checkpoint.</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/682167
modelVersions.downloadUrl: https://civitai.com/api/download/models/682167
modelVersions.AutoV1: D534C9DC
modelVersions.AutoV2: CE339CC171
modelVersions.AutoV3: E64C3658001F
modelVersions.BLAKE3: 1E574EEAFF6A2E87B494951C5461CA7091FE1C80F4F2ED5714A67DDBBE0C81C5
modelVersions.CRC32: E51A0703
modelVersions.SHA256: CE339CC1716E5A30B549B549BF71D9179BDDE1281F4750BFA96909BD9E2E05F9
modelVersions.format: SafeTensor
modelVersions.name: Ayuli2424SD1.5.64.0.921tx1-000005.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-07-30T02:01:23.572Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: U58qEG9~IV$z~BNyVskCRPt8nNWXr?aKRjn~
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f4346f78-b007-4613-811c-e239a64aa130/width=450/21940447.jpeg
modelVersions.hash: UACr1UEM57=_15xG$eI=0h=w=xM}},ENER-T
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a2470b2f-9ce8-4e29-a77f-103a29ce57bd/width=450/21941568.jpeg
modelVersions.hash: UIFr;B4p^hyrGb~9I]?bM|xW?aoz~AIWxt%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/46a5a1d7-4b12-4e3e-8cda-0e5b647955f9/width=450/21940537.jpeg
modelVersions.hash: U8C6DC9j0N=r}QWTShn-4s-Tk.59AIxGWBSc
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d4a77e1f-1a7c-4c39-87c3-15c6a53638c2/width=450/21940533.jpeg
modelVersions.hash: UA8D-9Nf4.%1~XW?D%xZJCt7n#ay4:t6-oIp
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/72e4780c-5cd3-46e9-914e-99b6cfd50835/width=450/21940531.jpeg
modelVersions.hash: UBCrfe}?9w?ExuEQ9w-T9zEQENIq$%-UxsR+
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3f6604d1-7ce4-4b26-8a73-96c817445f57/width=450/21940558.jpeg
modelVersions.hash: UvCkVURpRQs,yZt7oLafOvt6oekCx^R*kBs:
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2fe49776-8b68-4352-8e15-01a674cc034c/width=450/21940552.jpeg
modelVersions.hash: UaF4}@JBE2xZ~VS5Ipt6T0s:aya}9woet6jG
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/10d6a6be-7060-4104-98d1-6701f5d432c5/width=450/21941652.jpeg
modelVersions.hash: UMDmHk0LHro}.TngR4NHtT$}E2RkNzn$xWkC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a70a7ce5-319e-41df-9907-f1f39e913a0f/width=450/21941508.jpeg
modelVersions.hash: UBEWT{03:4My03n6Tt9?IS~VIb#:%go|RP-U
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ee422fff-ae5e-488c-9d53-817f163e7699/width=450/21941753.jpeg
modelVersions.hash: UCCZ0710Hqib:_VYKHyC1T},EJMykCIo$$X9
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a91d3c2d-9e42-4be4-aea9-83f1a64be7ca/width=450/21941507.jpeg
modelVersions.hash: UHA+NoI@5S$$}rNdENxFNeoMs-WV11xF-8R+
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/49258b59-58a6-45ff-9269-04c6a2813427/width=450/21941751.jpeg
modelVersions.hash: U5BV@A?F03oy~A4=03=_N1RmE2NHt1-nxtNu
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2598bc8d-a5b1-4c9d-be7c-2133a7b7ad27/width=450/21941804.jpeg
modelVersions.hash: UHE2,v0Nwfxp_N?EV?xa?u=_RRj[%#sV=_M|
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/924e4be6-3787-4115-9a29-995c009e2dc5/width=450/21941510.jpeg
modelVersions.hash: U6Ac*Z~o5XaM5HS89c$%I:4;a2xEne^c$~I:
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a45b7773-4096-4bd4-80d8-b1f189446738/width=450/21940559.jpeg
modelVersions.hash: U99?m:11Itt6}?9_I?$*Ro%0IqafEO-UR*R*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8965b7f6-00bc-42dc-9ec1-33a2758a10c4/width=450/21941511.jpeg
modelVersions.hash: U37,_S4;0f~A0g=_s,s;02?G^i4;~99uS6%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/90c5de9f-5574-456b-8005-0f966127e145/width=450/21941565.jpeg
modelVersions.hash: UACr_x4:01?a~qnMR4JD%M=[It9bEN%0?F9b
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fbc86423-99a9-4595-a0b2-4d806819c32e/width=450/21941563.jpeg
modelVersions.hash: U26HM=16T0%M-Rs-NGxD0O}=WBNcOFbw={Ek
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0ad8e549-5d94-4cc9-b395-790e7b732ec3/width=450/21941569.jpeg
modelVersions.hash: U9Byvj~S05Iq#99J5T^#%KNb9vIqxV?E-nIa
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aec4142f-9a37-43dc-b7ea-f6a6890d1dd2/width=450/21946956.jpeg
modelVersions.name: v0.921 SD 1.5
modelVersions.publishedAt: 2024-07-30T02:09:34.789Z
modelVersions.trainedWords: a0b from above scenery architecture, deep cityscape, overgrown, deep wide shot
name: Deep urbanized city background in style of Ayuli2424 [Pony XL, SD 1.5, Animagine SDXL*]
tags: anime scenery background illustrations backgrounds styles concepts painting art