description: <h1 id="heading-1344"><strong><u><span style="color:rgb(250, 82, 82)">请勿将本模型及生成的图片用于任何商业用途！</span></u></strong></h1><h1 id="heading-1344"><strong><u><span style="color:rgb(250, 82, 82)">请勿利用本模型生成及传播不恰当的图片！！</span></u></strong></h1><p></p><p><strong>     这次采用了77张脸部的图片整合成了数据集。水叔的题材和画风都是有极强的特色。作为一个Lora的制作者，<em><span style="color:rgb(253, 126, 20)">在此声明一下，不要使用本模型生成的图片进行不恰当的传播！谢谢配合。</span></em></strong></p><p></p><p><strong><em><u><span style="color:#82c91e">【海报中包含了多组组内相似的图片，每组的第一张是未使用ADetailer的。剩余组内图片为使用ADetailer的。】</span></u></em></strong></p><p><strong>     这次会上传两个不同Epoch的版本：</strong></p><p><strong><span style="color:rgb(250, 176, 5)">     ASYLJ77-2-000020_MainlyForFace</span>主要用来搭配ADetailer使用。参数0.4-0.5，重绘幅度0.5- 0.7（有时也可以考虑参数0.7左右，重绘0.4-0.5）。因为训练轮数更多，拟合程度更高，在只针对脸部进行重绘时效果更好。值得注意的时，因为训练集有一些图片包含毛绒绒的领子，为了避免干扰，在重绘时最好让蒙版在Y轴方向上移一些。同时，在Adetailer的Positive中加入(bare_neck), 在Negative中加入choker。</strong></p><p><strong><span style="color:rgb(250, 176, 5)">     ASYLJ77-2-000014_MainlyForBody</span>则可以用来绘制全身图和半身图。虽然只投入了脸部的图片，但是在权重较低的情况下，绘制全身和半身图依然时可行的。参数同样推荐为0.4左右。高分辨率修复 (Hires. fix)的重绘推荐在0.4左右。</strong></p><p><strong><em><span style="color:rgb(130, 201, 30)">     需要注意的是，这次的两个版本是可以交换使用的。020可以用来画身子，014同样也可以用来画脸。并没有非常非常明确的区分。同时，参数方面也可以根据自己的需求调整，作者在绘制展示海报时也是根据需要进行了多种参数的尝试。</span></em></strong></p><p><strong>     两者的触发词是一致的，均为ASYLJ77。</strong></p><p></p><h1 id="heading-501"><strong><u><span style="color:rgb(250, 82, 82)">Please do not use this model and generated images for any commercial purposes!</span></u></strong></h1><h1 id="heading-502"><strong><u><span style="color:rgb(250, 82, 82)">Please do not use this model to generate and distribute inappropriate images!!</span></u></strong></h1><p></p><p><strong>This time, 77 images of faces were used to integrate the dataset.</strong> <strong>The style of the pictures of As109 are extremely distinctive.</strong> <strong><span style="color:rgb(253, 126, 20)">As a Lora maker, I would like to make a statement that Do Not use the images generated by this model for inappropriate distribution!</span></strong><span style="color:rgb(253, 126, 20)"> </span><strong><span style="color:rgb(253, 126, 20)">Thanks for the cooperation.</span></strong></p><p></p><p><strong><em><u><span style="color:#82c91e">[The poster contains multiple groups of similar images, the first in each group is the one that does not use ADetailer.</span></u></em></strong><span style="color:#82c91e"> </span><strong><em><u><span style="color:#82c91e">The remaining in-group images are those using ADetailer.]</span></u></em></strong></p><p></p><p><strong>Two different Epoch versions will be uploaded this time:</strong></p><p><strong><span style="color:rgb(250, 176, 5)">ASYLJ77-2-000020_MainlyForFace</span> is mainly used with ADetailer.</strong> <strong>Parameter 0.4-0.5, strength 0.5- 0.7 (sometimes you can also consider parameter around 0.7, strength 0.4-0.5).</strong> <strong>Because of the higher number of training rounds, the fit of this version might be higher and works better when redrawing only the face.</strong> <strong>It is worth noting that since some of the images in the training set contain fluffy collars, it is better to have the mask moved up a bit in the Y-direction when redrawing in order to avoid interference.</strong> <strong>At the same time, add (bare_neck) to Adetailer's Positive and add choker to Negative might also work.</strong></p><p></p><p><strong><span style="color:rgb(250, 176, 5)">ASYLJ77-2-000014_MainlyForBody</span> can be used to draw full and half body images.</strong> <strong>Although only the face image is input, it is still feasible to draw full and half body images with low weights.</strong> <strong>Again, a parameter of about 0.4 is recommended.</strong> <strong>For high resolution fixes (Hires. fix) a strength around 0.4 might be enough.</strong></p><p></p><p><strong><em><span style="color:rgb(130, 201, 30)">Note that the two versions are interchangeable in different situations. 020 can be used to paint the body, and 014 can likewise be used to paint the face.</span></em></strong><span style="color:rgb(130, 201, 30)"> </span><strong><em><span style="color:rgb(130, 201, 30)">There is no very, very clear distinction.</span></em></strong><span style="color:rgb(130, 201, 30)"> </span><strong><em><span style="color:rgb(130, 201, 30)">At the same time, the parameters can be adjusted according to your own needs, and the author has tried a variety of parameters as needed when drawing the display poster.</span></em></strong></p><p></p><p><strong>The trigger word for both is the same, which is ASYLJ77.</strong></p><p></p><p></p><p></p>
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <ul><li><p>Note: XL版本的范例图中表情较为平淡的为未使用ADetailer的图片。一般为每组第三张。 (The XL version of the poster images with the more bland expressions are those that do not use ADetailer. Usually the third one in each group.)</p></li><li><p><strong>XL版本依然推荐主要作为ADetailer修复面部的脸模使用。</strong></p></li><li><p><strong>The XL version is still recommended to be used primarily as a face mold for ADetailer repair faces.</strong></p></li><li><p><strong>如果直接用来生成完整图片，推荐权重0.9（不开高清修复情况）。如果进行脸部修复时，针对较小脸部区域，推荐权重0.95，重绘幅度0.6-0.7。如果脸部区域较大则推荐重绘幅度不高于0.6。具体情况请根据实际需要决定。</strong></p></li><li><p><strong>If used directly to generate a complete picture, the recommended weight is 0.9 (without Hires. fix). For face restoration, the recommended weight is 0.95 and the recommended strength is 0.6-0.7 for small face areas, or no higher than 0.6 for larger face areas, depending on the actual needs.</strong></p></li></ul><p><strong>[1] XL版支持瞳孔和眼睛颜色分别调色。基本支持控制多色瞳孔颜色。基本支持异色瞳。</strong></p><p><strong>[1] The XL version supports separate color for pupils and eyes. To some extent support for controlling multi-colored eyes colors. To some extent support for heterochromatic pupils.</strong></p><p><strong>[2] XL版支持更详细的表情控制 (XL version supports more detailed expression control)：</strong></p><p><strong><u>(1) 较为有效的负面表情词 (Relatively Effective Negative Emotion words):</u></strong></p><p><em>expressionless, contempt, disdain, annoy, angry, tears, tearing up, shouting, scared, endured face, despair, pain, sad, wince</em></p><p><strong><u>(2) 较为有效的中性表情词 (Relatively Effective Neutral Emotion words):</u></strong></p><p><em>clenched teeth, fang, fangs, thinking, naughty face, confused, thinking, evil smile, :t, :o,</em></p><p><strong><u>(3) 较为有效的中性表情词 (Relatively Effective Positive Emotion words):</u></strong></p><p><em>+_+, :d, smile, laughing, smirk, </em>and so on</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/464826
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/464826
modelVersions.AutoV1: 9300B4E4
modelVersions.AutoV2: 17C497767E
modelVersions.AutoV3: 92DB7C804EB9
modelVersions.BLAKE3: 4C3F1DF0819D1C2D7209E533376F3C6AFE796A176B202329B6606ED05F7CBEE9
modelVersions.CRC32: 5D83CE02
modelVersions.SHA256: 17C497767EB455C874603F2EC5BFE87BECBD7B16BD8EA7F78377BEF1306697B7
modelVersions.format: SafeTensor
modelVersions.name: ASYLJ77-XL-MainlyForFace.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-04-24T06:15:55.088Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UGKn6_4[00%N?JRkXLs:4-t3^Lng?]WVVt%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/994aef47-bb8c-4993-9ba2-8d37f2f4b029/width=450/10610000.jpeg
modelVersions.hash: U168EXt700xu-;ay9Ft700Rj_3RjIUof_3M{
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/353137d1-ed1b-47f2-95c3-46c80cb08232/width=450/10610058.jpeg
modelVersions.hash: UHKKg44[00%N-rRkkQs:9Yt3=?ng?]WVRP%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a6a6fa9e-b02b-4a8e-a1d9-d16aaa2dd882/width=450/10610001.jpeg
modelVersions.hash: UDKUZwVt0L?^00x]E1aJ%MS5E1Mxs+xZkDI[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5c0961c8-3a99-4ffc-b099-edff447222f2/width=450/10610002.jpeg
modelVersions.hash: UUNSdH?vyqxvu*xuNbWVNFaK^%o}_Noyo|X7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7453b1a9-c404-46df-8f9c-d09ff0d5d1c4/width=450/10609990.jpeg
modelVersions.hash: URM~-C_M*ItSu*xuNbW:R*V?^%tR_No|o|W.
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/824b31f9-4f76-4b0c-80b5-f071872ddf15/width=450/10609997.jpeg
modelVersions.hash: U8K1ziR:0v~p02RjZ{%L01of~VRkWFxa-:IU
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4a1aac6c-f42c-4e16-9b94-190f6aa4c2ad/width=450/10609998.jpeg
modelVersions.hash: UNMG;rD%_M-qwL%2-:M_56%2^*bv_NbFM{s;
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/002b7b3b-a26b-4f11-894f-5d04e1c80575/width=450/10611035.jpeg
modelVersions.hash: UfPZlnt7_NxuM|j[xue.tRayRjj[WCoexuWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc3a28c7-4aa6-4e87-b72a-5d391a6f1ed4/width=450/10609913.jpeg
modelVersions.hash: UOM7T2IA_M%MwJ%2-:M_9a%1^*kW_NWoM{t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a7ba27b1-076b-475f-9a20-78a8624eb125/width=450/10609903.jpeg
modelVersions.hash: UgPQ1[t7_NxuM|j]xuaetRayRjj[ayoLxtWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/03fe0c79-99f2-49ba-b910-10df615263ec/width=450/10609912.jpeg
modelVersions.hash: UhK-8}%MNts;~BtRtln$EgWBxZWrtmjFnNRj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/683366f6-9281-49f6-bad9-ada71783a14f/width=450/10610027.jpeg
modelVersions.hash: UWHe@Bof?wozXAayE1WBt6ofM{WVM|WBozof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/208784af-83bc-4fe7-b8f6-01d6e1e48f0c/width=450/10610031.jpeg
modelVersions.hash: UGLWn?~C1C4-,|?b%y?a00Rj#7Nb_0n#IWVt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/eb1d4927-6887-4e9c-8730-9a3aaee68969/width=450/10610035.jpeg
modelVersions.hash: ULQS_2RS?[_2-Wxao{WWD+NGtPofxwofoaoc
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5cfd4c25-df84-49d8-beaf-a5c2079b6bcc/width=450/10610040.jpeg
modelVersions.name: ASYLJ77-XL-MainlyFor Face
modelVersions.publishedAt: 2024-04-24T06:15:30.258Z
modelVersions.trainedWords: ASYLJ77
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.downloadUrl: https://civitai.com/api/download/models/458706
modelVersions.downloadUrl: https://civitai.com/api/download/models/458706
modelVersions.AutoV1: 83E52E9E
modelVersions.AutoV2: 4B902A9645
modelVersions.AutoV3: 02C71ADADC43
modelVersions.BLAKE3: 5E9FD2260C8F182D1E8D252108B07F3E50956A8980D2A716DBEEE04CFA3660F2
modelVersions.CRC32: AB690924
modelVersions.SHA256: 4B902A9645FD479D727621F9DD30C3207E47F02D03F4D5C470012988DCDE68A0
modelVersions.format: SafeTensor
modelVersions.name: ASYLJ77-2-000020_MainlyForFace.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-04-21T03:41:15.445Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UZLNoeM{~pa#9aNGoLxtIps:-oRk~pt6xukD
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/522d798e-822e-4965-a41f-136872b4ff23/width=450/10368215.jpeg
modelVersions.hash: UaLE1vRP~qWC9aNGofxtI;oe-oWB~pt6xtkD
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9f8c16f2-b672-4695-902e-8c73ec37163d/width=450/10368250.jpeg
modelVersions.hash: UBPZfV-;TC~qyER+?F-pyDayems:Ipayt3R%
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/67c2a4a5-a7c1-407f-8ded-0310361b0bd1/width=450/10368255.jpeg
modelVersions.hash: UBPZfV-;TE~qx^R+?G-px]ayens:Ioayt6R*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fc19d0f6-cb67-4bf3-bb2d-5866738ade91/width=450/10368257.jpeg
modelVersions.hash: UNL;W{t7~q%MIUay%Mj[?bofD%WB^+ofE1WB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e98acf1d-64b9-444e-9448-00f945b1d293/width=450/10368263.jpeg
modelVersions.hash: UOL;T=t7_N%MIBay%Mj[?bofE1WB^+ofE1WB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2615ab21-c430-4b79-98c7-dd948099ed83/width=450/10368266.jpeg
modelVersions.hash: UKKAmHWBY5xum,t7tlWVkWof?boz~qayM{j[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/03ead529-065c-4df8-8227-79edc53b27b6/width=450/10368275.jpeg
modelVersions.hash: ULKAmHWBcYxum,t7x]WWkWof?bof~qayM{j[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb53bfd9-a721-4fc4-9fcc-a657ac2b759c/width=450/10368278.jpeg
modelVersions.hash: ULO:ty%M?^tRR5azx]j[juaykCof-pf6Naof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/88899b96-c2f2-43c6-ab33-dae9ff00f6f1/width=450/10368302.jpeg
modelVersions.hash: ULO:ty%M?^tRR5ayx]oejbaykCof-payNaof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b1a56156-89e5-4351-8946-35fb9dc8b428/width=450/10368303.jpeg
modelVersions.hash: ULO:ty%M?^tRR5azx]oLjbayofof-payNaof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4d7ec2ca-4a0c-425b-b643-98f1ba458bb4/width=450/10368304.jpeg
modelVersions.hash: UXOzD9bH~q-pRjay%MbH?uxuM{NG-oR*IVad
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/65f8b1b8-fa90-4fa2-84ff-47fc5397324f/width=450/10368335.jpeg
modelVersions.hash: UWOzD9bH~q-pRjay%MbH_3%2M{NG-oR*IVad
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8618b806-1b0b-4e0e-acdd-075b07cbaeb7/width=450/10368347.jpeg
modelVersions.hash: UWOzD9bH~q-pRjay%MbH_3%2M{NG-oR*IVad
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aca1458f-855d-460b-bfd8-5a2f1dcb0c00/width=450/10368351.jpeg
modelVersions.hash: UNMH0|og_N%N_3t7%MIUtSM{RORj?bWBxuoe
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c0d1445c-c4b9-4f9a-8e5c-b825c7073a76/width=450/10368419.jpeg
modelVersions.hash: ULMQktoz_N-;_3xa%MIUkXM{RPRj?bWB%Mof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8224145e-a7b0-4631-82af-f16d464f42ea/width=450/10368433.jpeg
modelVersions.hash: UMMH0}of_N-;_3xa%MIUtRM|RPRQ?bWB%2oe
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f0b1cc6a-4589-4232-a533-e7746a84738b/width=450/10368438.jpeg
modelVersions.name: ASYLJ77_MainlyForFace
modelVersions.publishedAt: 2024-04-21T03:46:26.988Z
modelVersions.trainedWords: ASYLJ77
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.downloadUrl: https://civitai.com/api/download/models/458725
modelVersions.downloadUrl: https://civitai.com/api/download/models/458725
modelVersions.AutoV1: 6EF32C7D
modelVersions.AutoV2: F52B5973BB
modelVersions.AutoV3: 7B60E5AAE88A
modelVersions.BLAKE3: 87F8CE7A921A42FF8E59287855F14A136630BF59D5B54090EDE4C771FA5E53F8
modelVersions.CRC32: 443F5D50
modelVersions.SHA256: F52B5973BBBF204DDD86949C175D551C651D0D031396071F496389BDAC824D6F
modelVersions.format: SafeTensor
modelVersions.name: ASYLJ77-2-000014_MainlyForBody.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2024-04-21T03:56:42.737Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UNRC[6xu~q%M?bWBt7t7%MayM{j[t7ofRjWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ea38dd7d-f39e-427d-86c1-c6ef2c50a671/width=450/10369171.jpeg
modelVersions.name: ASYLJ77_MainlyForBody
modelVersions.publishedAt: 2024-04-21T03:56:33.084Z
modelVersions.trainedWords: ASYLJ77
name: As109 Style 画风模仿 Mainly For Face 脸模
tags: style