description: <p>Tanashi is a town located in Nishi-Tokyo City（West Tokyo City）in the western part of Tokyo. Is it Tanashi that is output by this LoRA? It's a little strange when you say that.</p><p>If it is 0.6 or higher, a town that looks like Tanashi will appear, but if it is 0.3 to 0.5, a Japanese residential area that is not Tanashi will be drawn. When the mountains appear in the background, the feeling that it is not Tanashi becomes stronger. The Kanto Plain is so vast that there are only a limited number of places where the mountains can be seen. If you can see a mountain, it's usually Mt. Fuji. It feels too open for a local city, so it feels like a town a little further west than Tanashi, a town in the metropolitan area, or a newly created subdivision. Tanashi is mostly flat land, so there are almost no slopes in the input data, but it's refreshing to see landscapes with slopes.</p><p>There is no demand for a LoRA that specializes in the little-known area of Tanashi, so please use it as a LoRA for drawing residential areas in Japan.</p><p>Although it is not created based on KawayoSketch, it seems that drawing with KawayoSketch is the most natural. Let me tell you, there are too many models that don't consider how to handle the background. As I was experimenting with various things, I realized that adding a little BG_Enhance can dramatically change a monotonous landscape. This seems to depend on the compatibility with the model, but two of the models on which KawayoSketch is based seemed to be very compatible. Additionally, KawayoSketch has a built-in equivalent to BG_Enhance. Therefore, although it was not my intention, it seems best to use it with KawayoSketch. Of course, other models also perform certain functions.</p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.downloadUrl: https://civitai.com/api/download/models/516252
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/516252
modelVersions.AutoV1: DE2F2560
modelVersions.AutoV2: FDE056D737
modelVersions.AutoV3: 8F4E5FBF125D
modelVersions.BLAKE3: 55B425B22A135B25EDCE17740ADD53E11452D34ED658BCF63BB9769FE7ECA787
modelVersions.CRC32: E575AABF
modelVersions.SHA256: FDE056D73797D63C889C5C445F75B4102550F60CE0109F8E9282396E5E845CDA
modelVersions.format: SafeTensor
modelVersions.name: Tanashi.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-05-19T09:12:28.924Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UXG+,m9a%1M}.Txue:axcGs.V@t7tSWBofkC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb99c1d8-1b0d-4d47-9f36-6424e0e0a2f9/width=450/12938453.jpeg
modelVersions.hash: UhG036XUxZM|?wR+xBkDb{oJoeozRloft7WC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1ffe3a54-ec06-44ae-863b-c2dc0d3a2c81/width=450/12938528.jpeg
modelVersions.hash: UcF~zGX8wHt7t:S7V?oxJXR%WYkDRiWBkXt7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7ebfe1bc-ccd1-4dcb-af28-bf522c4f9338/width=450/12938465.jpeg
modelVersions.hash: UXF$eZS5$wt7%%t7nNoLJXkCNGbHR-WVW=t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/78794e18-09ea-41cb-bea1-d18e9829865f/width=450/12938592.jpeg
modelVersions.hash: UaGSM^RkrpbJ?wkDaJWVXokBWBWXW?R*bIbI
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/94352191-c5f1-47db-953d-68ddf092d36b/width=450/12938504.jpeg
modelVersions.hash: UWF?3BR.nfNH.AW?r=flJXShoMf5R,flR*t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1f18a003-802f-43ae-b243-4bad6a20d717/width=450/12938715.jpeg
modelVersions.hash: UZGI.lxWeRtS?wWsa0R.OabbadM|Rjt7ozRl
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c62f6c68-95ce-4d96-92b3-bd37ff9d7cfa/width=450/12938500.jpeg
modelVersions.hash: UdFsZ0o|Z~xuyZtSent7S+RlxYodIooct7n+
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0da620d9-b8bf-4fa1-ade5-32329765f611/width=450/12938518.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2024-05-19T09:58:02.264Z
name: Tanashi: Scenaery of Japanese residential area
tags: background jananese scenary