description: <p><strong><u>This is my first Lora.</u></strong> I've trained this on Google Colab using a hand captioned dataset filled with screenshots of TF2 maps <em>(without hud or players)</em>.</p><p></p><p><strong><u>It does not require a trigger word, but tags are recommended:</u></strong></p><p>Try prompting like: "<em>(<span style="color:#40c057">name of the map</span>),</em> <em>(<span style="color:#4c6ef5">keywords</span>)</em>, fps game"</p><p><em>Adding "Team Fortress 2 map," to the beginning of your prompt </em><strong><em>may worsen quality</em></strong><em>, especially for maps that use dev textures, </em><strong><em>but could possibly improve quality</em></strong><em> for sandier maps like pl_upward.</em></p><p></p><p></p><p><u><span style="color:#40c057">Maps it was trained with</span> (use one of these in the prompt):</u> <strong>ctf_2fort, ctf_turbine, koth_sawmill, pl_upward, pl_badwater, plr_hightower, trade_mega, trade_plaza, achievement_engineer, achievement_apg, cp_5gorge, tr_walkway, cp_degrootkeep, cp_orange</strong> <em>(x3 version)</em></p><p></p><p><u>I've captioned images in the dataset using these <span style="color:#4c6ef5">keywords</span>:</u></p><p><strong>|grid texture, community map|</strong> -&gt; for cp_orange and achievement_engineer</p><p><strong>|overcast, wooden logs|</strong> -&gt; for koth_sawmill</p><p><strong>|payload track/payload cart|</strong> -&gt; for pl_upward, plr_highertower, pl_badwater</p><p><strong>|medival, castle|</strong> -&gt; for cp_degrootkeep, achievement_apg</p><p><u>You can also use these <span style="color:#4c6ef5">general terms</span>:</u> <strong>outdoors, indoors, RED/BLU intelligence room, RED/BLU control point, wooden walls, concrete walls, red brick walls, underground, cliffside, rocks, cactus</strong></p>
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <p>Released.</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/208134
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/208134
modelVersions.AutoV1: 3D522711
modelVersions.AutoV2: F65C7114DD
modelVersions.AutoV3: CB547B2DDD05
modelVersions.BLAKE3: 9D3D97C2912E47A179A439D30F82B27AFFB5B92D5A5239FAB28860D92FA8E579
modelVersions.CRC32: CF8E75AD
modelVersions.SHA256: F65C7114DD829CF8AED8730D3C3A4404B2EBAF10FE09CD2FA09F2DE0A0D07285
modelVersions.format: SafeTensor
modelVersions.name: tf2map_lora.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-11-01T14:50:38.112Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UlKKQQ~q-pkqK7aen$xZo}adRjae%Mj@R*f6
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/076ee61e-65bf-4d7f-837b-52d716d84e01/width=450/3312206.jpeg
modelVersions.hash: UBBxvE1N%2kC~BS$g3xa-pXT-UOX?GOY-VS5
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c49508c6-52f1-47d5-b4ea-fc089cc0cd85/width=450/3312224.jpeg
modelVersions.hash: URAwF}NGMwR*.AWAROe..9WBRPRj%hR*V@ae
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb48152e-b8bd-45e3-8ab2-52582350e2c7/width=450/3312175.jpeg
modelVersions.hash: U8A[ov68}9n%+ur=xGo067NxsoSNFeJUn$az
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8addf7de-5b5e-453e-a2ea-6c43ab6451b6/width=450/3312259.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2023-11-01T14:49:25.622Z
name: TF2 Map Lora (SDXL)
tags: style