description: <p>Kyuuuuiiiinnnn... I wanted to try my hand at making one of those mass produced 30 image dataset throw away LORAs. The result is exactly what i expected. It is stiff, weird as hell, burns easily and behaves randomly without a lot of extra tagging. So well... i wanted to experiment but didn't want to ruin a pretty lady so... I sacrificed a face up Kogarashi in defense mode!</p><p>Got ok-ish results with: &lt;lora:KamenNoMaidGuy:0.6&gt;, KamenNoMaidGuy, solo, standing</p><p>I cleaned the dataset but seems a lot of garbage remained due to this being a low effort lora. So check your Negatives!</p><p>Took me about an hour to clean the dataset, upscale what needed it and do the tagging. Which is very little in comparison to my normal LORAs.</p><p></p><p>Anyway I guess the conclusion is clear, at least to me. Training with less than 100 images works best with little to no tag pruning as to prevent overbaking. If you prune too much you increase your chances of overbaking.</p><p></p><p>Therefore Low effort small dataset LORAs are harder to use and require more verbose prompting, because if you consolidate the tags you increase the risk of overbaking.</p><p></p><p><strong>Surprisingly the laziest approach seem to be the actual best method for small dataset loras. Zero tag pruning and leave the verbose prompting in the hands of the user. They might actually do better without an actual trigger.</strong></p><p></p><p>Well regardless, I will add the dataset and tag summary. As I said this was experimental. Negative results are still results!</p><p></p><p></p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.downloadUrl: https://civitai.com/api/download/models/77868
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/77868?type=Training%20Data
modelVersions.AutoV1: 79CB1FDC
modelVersions.AutoV2: 02F99281DA
modelVersions.BLAKE3: 769D028084FD116DE5394DA8569BDE43C32F613F67281C1C6D876894B1733987
modelVersions.CRC32: B3A7C886
modelVersions.SHA256: 02F99281DAF41C561D71A74F22DBBF6E82C971C8FE9D509EB165DBBA7D30FC5F
modelVersions.format: Other
modelVersions.name: data.zip
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-05-22T13:46:12.860Z
modelVersions.type: Training Data
modelVersions.virusScanResult: Success
modelVersions.downloadUrl: https://civitai.com/api/download/models/77868
modelVersions.AutoV1: 948E2AF1
modelVersions.AutoV2: 0253C1B714
modelVersions.AutoV3: 0E5E577607D2
modelVersions.BLAKE3: C01A06F164A203EC78243C78D8D911221AFF3F45A029B715F7373ED3C2F70C54
modelVersions.CRC32: 030B5D8F
modelVersions.SHA256: 0253C1B714EF75A7D69546826DFD9D1E71EA2F19B2CF3F2703EFF4E6BB97B214
modelVersions.format: SafeTensor
modelVersions.name: last.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-05-22T13:46:18.689Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UJIz|~E500WBIAadR;%2MHM|~WjG_4xu4oRi
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4fe3a0e2-185c-4809-bdd4-803f957f6820/width=450/873129.jpeg
modelVersions.hash: U9F~XID%00of9Fof00t79Yt8_Nay00Rj%eay
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/df1208a2-261d-4701-823e-6b29dd82acfd/width=450/873131.jpeg
modelVersions.hash: UEINj#8^4T?^L}-q~DIn9dNH9Zs.q_IUIn?I
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa137793-4495-4a77-a609-6e596446e7ac/width=450/873130.jpeg
modelVersions.hash: UFHn:7~pD4R6?HRi9HV{w{Rk?bxuRWV]EJNX
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/408ab4cc-e742-409d-bdb4-c9bcb4e80a6a/width=450/873133.jpeg
modelVersions.hash: UBH2QM^+00s:?aofakRj0KNG-=bI_4WB9EkC
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4457ec04-3584-4a0a-acf5-1a13b1f01989/width=450/873132.jpeg
modelVersions.hash: UVJ7{=s;e,s;-=WANHkDOYM|M|oy~pWBRjoL
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b9f10c77-51e8-46ed-8d1d-dc3dbacdf66d/width=450/873285.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2023-05-22T13:43:03.963Z
modelVersions.trainedWords: KamenNoMaidGuy
name: Kogarashi - Kamen no maid guy
tags: anime character experimental parody male low effort kamen no maid guy kogarashi