description: <h1 id="heading-1595"><strong>404 Lora Helper: A CivitAI Contest Toolkit</strong></h1><p>🚀 <strong>Elevate Your 404 Contest Submissions with Specialized LoRAs</strong></p><p>A series of LoRAs designed specifically for the <a target="_new" rel="ugc" href="https://civitai.com/articles/2997">CivitAI 404 Contest</a>. <br />Each LoRA has been trained with the first ~800 image submissions from the contest, offering diverse ways to enhance your entries.<br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/67808382-0da2-41c5-a9c6-f22a2ddc88c8/width=525/67808382-0da2-41c5-a9c6-f22a2ddc88c8.jpeg" /></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e775e524-b978-4a77-846f-b9c979ba8c54/width=525/e775e524-b978-4a77-846f-b9c979ba8c54.jpeg" /></p><h2 id="heading-1596"><strong>🌟 Available LoRAs:</strong><br /><strong>1️⃣ LoRA1 - The Standard Bearer</strong></h2><ul><li><p>Trained with CivitAI's trainer on 760 images</p></li><li><p>Learning rate: 0.0005, Epoch: 16, Steps: 3200</p></li><li><p>Optimizer: AdamW8bit, Base model version: sdxl_base_v1-0</p></li></ul><p></p><p></p><h3 id="heading-1597"><strong>2️⃣ LoRA2 - Lycoris FULL Spectrum</strong></h3><ul><li><p>Featuring a variety of algorithms from the Lycoris FULL suite</p></li><li><p>Modules include LohaModule, LoConModule, FullModule, and LokrModule</p></li><li><p>Tailored adjustments for both UNet and Text Encoder components</p></li></ul><p></p><pre><code>module type table: {'LohaModule': 176, 'LoConModule': 150, 'FullModule': 26, 'LokrModule': 700}
  enable_conv = true
  # UNet Target Modules and Names
  unet_target_module = ["Transformer2DModel", "ResnetBlock2D", "Downsample2D", "Upsample2D"]
  unet_target_name = ["conv_in", "conv_out", "time_embedding.linear_1", "time_embedding.linear_2"]
  # Text Encoder Target Modules and Names
  text_encoder_target_module = ["CLIPAttention", "CLIPMLP"]
  text_encoder_target_name = []  # "token_embedding" not supported
  # Module Algorithm Map
  module_algo_map = {
      "CrossAttention": {  # Attention Layer in UNet
          "algo": "lokr",
          "dim": 100000000000,
          "factor": 64
      },
      "FeedForward": {  # MLP Layer in UNet
          "algo": "lokr",
          "dim": 100000000000,  # Trigger full matrix
          "factor": 6
      },
      "ResnetBlock2D": {  # ResBlock in UNet
          "algo": "lora",
          "dim": 64,
          "alpha": 1,
          "use_tucker": true,  # Use tucker decomposition for convolution
          "factor": 8
      },
      "CLIPAttention": {  # Attention Layer in TE
          "algo": "loha",
          "dim": 32,
          "alpha": 1
      },
      "CLIPMLP": {  # MLP Layer in TE
          "algo": "lora",
          "dim": 64,  # Trigger full matrix
          "alpha": 1
      }
  }</code></pre><p></p><h3 id="heading-1598"><strong>3️⃣ LoRA3 - The Fusion Quartet</strong></h3><ul><li><p>A dynamic blend of four different LoRAs</p></li><li><p>Network dimensions and alpha dynamically resized for nuanced results</p></li><li><p>A unique approach for diverse artistic outputs</p></li></ul><p></p><pre><code>A Merge of 4 loras trained with Civitai trainer
  
  ss_v2:  "False",
  ss_network_dim:  "Dynamic",
  ss_training_comment:  "FFusion.AI - Dynamic resize with sv_ratio: 16.0 from 416; ",
  ss_network_module:  "networks.lora",
  ss_base_model_version:  "sdxl_base_v1-0",
  ss_network_alpha:  "Dynamic"</code></pre><p></p><p></p><h3 id="heading-1599"><strong>4️⃣ LoRA4 - The Compact 404</strong></h3><ul><li><p>A down-scaled version optimized to 64 dimensions</p></li><li><p>Combines the power of multiple LoRAs in a more compact form</p></li><li><p>Ideal for streamlined yet rich artistic creations</p></li></ul><pre><code>Another Mash Version downscaled to 64 DIM
   {
  ss_network_module:  "networks.lora",
  ss_v2:  "False",
  ss_base_model_version:  "sdxl_base_v1-0",
  ss_network_dim:  "Dynamic",
  ss_training_comment:  "FFusion.AI - Dynamic resize with sv_ratio: 64.0 from 369; ",
  ss_network_alpha:  "Dynamic"
  }</code></pre><p></p><h2 id="heading-1600"><strong><br />🎨 Fusion Examples:</strong></h2><p>Experiment with combining different LoRAs for unique effects. For instance:</p><pre><code>&lt;lora:FF_404_Inspiration:0.4&gt;&lt;lora:404-CIvitAI-lora:1&gt;&lt;lora:404FFusionV2:0.71&gt;</code></pre><h2 id="heading-1601"><br /><strong>📖 Recommended Usage:</strong></h2><p>Pair these LoRAs with <a target="_new" rel="ugc" href="https://civitai.com/models/176555/harrlogos-xl-finally-custom-text-generation-in-sd">Harrlogos XL</a><br />&amp; <a target="_blank" rel="ugc" href="https://civitai.com/models/204953/the-404ra-add-on-for-harrlogos"><strong><u>The 404ra - add-on for Harrlogos!</u></strong></a><br />for enhanced text generation in your 404 project.<br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9b2904a2-5fd5-4629-866d-32b7b99441cb/width=525/9b2904a2-5fd5-4629-866d-32b7b99441cb.jpeg" /></p><hr /><p><br /><strong>Note:</strong> These LoRAs are crafted to inspire and assist in the CivitAI 404 Contest. We encourage responsible and creative use to explore the boundaries of AI art.<br />loras are not supposed to provide out of the box results!!!</p><p>For further details and access, visit <a target="_blank" rel="ugc" href="https://civitai.com/articles/2997"><strong>Civitai 404 Contest page!</strong></a></p><p></p><p></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/08860e12-146f-4e47-8edb-74403966d17f/width=525/08860e12-146f-4e47-8edb-74403966d17f.jpeg" /></p><p></p><p></p><p></p>
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <pre><code>Another Mash Version downscaled to 64 DIM
   {
  ss_network_module:  "networks.lora",
  ss_v2:  "False",
  ss_base_model_version:  "sdxl_base_v1-0",
  ss_network_dim:  "Dynamic",
  ss_training_comment:  "FFusion.AI - Dynamic resize with sv_ratio: 64.0 from 369; ",
  ss_network_alpha:  "Dynamic"
  }</code></pre>
modelVersions.downloadUrl: https://civitai.com/api/download/models/234746
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/234746
modelVersions.AutoV1: 6307D6C2
modelVersions.AutoV2: C4C64AABD6
modelVersions.AutoV3: 3364D7E403A4
modelVersions.BLAKE3: FF07FF868DE5B2CBDE369CA1EF8B3B7686DED4FF7E94E3E9FDB2DB0FEFE8EF62
modelVersions.CRC32: 3BBAB8C2
modelVersions.SHA256: C4C64AABD6615305C98ABBB0473A0CB1834F50D78285C24F75256FB6F2786266
modelVersions.format: SafeTensor
modelVersions.name: 404FFusionV2.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-11-22T06:00:46.025Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UDE3F]-=Vrxs00f8xtt7~VRi9GWVD%js%NWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/daa7ee00-28a9-477f-a85f-67659ab37ae1/width=450/3824809.jpeg
modelVersions.hash: UD9*fio}8wi}0JWVq@V?~noJNikCIBf9NXWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/81476ea1-88b5-487f-96de-2d9686aeda84/width=450/3822623.jpeg
modelVersions.hash: U8EfZ@57l:9Z59xZD$WB~8-V00s,00R*9cS2
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d7b9dff2-2b86-4fc3-9cf2-63cae08a01c4/width=450/3822633.jpeg
modelVersions.hash: UIL;Nz00.9xv%0M{~q-;D%j[?bxa?bxu-osm
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b244f363-8b20-4dbe-a28e-9d52b3115b60/width=450/3822636.jpeg
modelVersions.hash: U5C$fk%$4.v|?u-pNJoJ^g~WI]4:0z~B-p9u
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/14c0a6a1-d988-4b56-8835-6e602f9a75ad/width=450/3822621.jpeg
modelVersions.hash: U6A,^B_M_}4;9_CT5TQl$0%$?cve16RPI]tR
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f2a39790-9682-49f7-bcf9-ceadea7f0c9c/width=450/3822622.jpeg
modelVersions.hash: U6C?Z0^HFb0Np1DR~UE01I56XR+a%{4o-:NY
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/908348ae-2e96-40f0-8ba9-1f338ab41a99/width=450/3822620.jpeg
modelVersions.hash: UFDt;Mju0esm%3WWwHj[05W:}=WW1Oj[RjWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc6511f1-8c7e-45fe-972c-713d2b9143e6/width=450/3822619.jpeg
modelVersions.hash: UDK9}fxI0}%Mv{X-0NW?49x[F5oz=.ohxuj^
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2343ad22-5c30-401c-81ed-30f1289071b4/width=450/3822624.jpeg
modelVersions.hash: U6CY,S$w0J%i_4V?=qx^%#-U-7OY^%jF0gxZ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c468407b-cb88-4a2e-b011-053888c6350d/width=450/3822626.jpeg
modelVersions.hash: UJFZTm~U8_9b-o$xoIJC^j-5XmS%Iaxaxtoy
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fdbed351-041d-49be-b831-d773ad0f43cb/width=450/3822627.jpeg
modelVersions.hash: U8B:R3Efy.]?1ZtSV#FD00t,qwEJ;CMIKD,L
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3b937835-60ba-4deb-aaf5-fc5bac3dd156/width=450/3822628.jpeg
modelVersions.hash: UAH0xM4n01}]18+_1XRkx_id?qIUEAn4BMae
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/59fc33ef-cd93-48ad-9f51-c87390b2d32c/width=450/3822625.jpeg
modelVersions.hash: UECGJs~Wm,;40L58M{I:VB-U%#PA$,R-sqwM
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1754d6db-85d0-4da5-9596-8ff6226e0d1d/width=450/3822632.jpeg
modelVersions.hash: UUJa$Z%NMHVrZ~s,DiRj~Vt7S6kC%LoJIURj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f81a024d-dc00-4c88-b2e3-ac02be4c6435/width=450/3822629.jpeg
modelVersions.hash: U6ATTM.Tz:T0o~OGtQo#00xD*0t74:M{IpRP
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e90306ba-cded-47ae-a947-cdc525178594/width=450/3822631.jpeg
modelVersions.hash: U8C=oBRi0ewI_2}nM{9u0f$|={Ip9]EL%Lxb
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7b55aad4-a90a-432e-9582-f2d8428210ce/width=450/3822630.jpeg
modelVersions.hash: UIEVNZ01-WIV~o9FS2NG0K?HIWj]0K^+Rlxb
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/397c80ee-5fdc-4322-bb05-aae249fee926/width=450/3822637.jpeg
modelVersions.hash: U79k.s%y2cOY*Ioe#8aL~ntQIpRkklj?R*V[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/56a3fc6c-3a7e-494f-b15b-417a7fea86cd/width=450/3822634.jpeg
modelVersions.hash: U3B45sNI004T4T-o0jR*-nWVE4tR00M|~pt7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5e616273-aa43-425b-89fe-139d9bec5f53/width=450/3822638.jpeg
modelVersions.name: 4. 404-FFusionV2-64DIM
modelVersions.publishedAt: 2023-11-22T06:00:33.577Z
modelVersions.trainedWords: 404 text 404 logo 404 Civitai404
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <pre><code>A Merge of 4 loras trained with Civitai trainer
  
  ss_v2:  "False",
  ss_network_dim:  "Dynamic",
  ss_training_comment:  "FFusion.AI - Dynamic resize with sv_ratio: 16.0 from 416; ",
  ss_network_module:  "networks.lora",
  ss_base_model_version:  "sdxl_base_v1-0",
  ss_network_alpha:  "Dynamic"</code></pre>
modelVersions.downloadUrl: https://civitai.com/api/download/models/234716
modelVersions.downloadUrl: https://civitai.com/api/download/models/234716
modelVersions.AutoV1: 85290F19
modelVersions.AutoV2: 4D396F7820
modelVersions.AutoV3: 80A6BFE09AF1
modelVersions.BLAKE3: FF8ACC8E4B8B8CB3D1595D40C8B876FC6477BD387A6C705D107B4DD048126D53
modelVersions.CRC32: 07FD96E2
modelVersions.SHA256: 4D396F7820C0CB94638C500A86355CBDA15D92F893391BE478EB98F04E8D89E9
modelVersions.format: SafeTensor
modelVersions.name: 404-CIvitAI-lora.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-11-22T05:20:39.430Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UMGbF_5lA1}bMzWBXS,[ivxsNEXRIoIAv}o}
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cd9fd56e-94aa-4dcc-adfb-c091bcfe9d52/width=450/3821719.jpeg
modelVersions.hash: UNEn*9-oE1W.}?M|9aNGR+WXRl%2EMR*M|xZ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ec652fa8-abb0-4900-81e7-edf9ae5af8f4/width=450/3821727.jpeg
modelVersions.hash: U171QG~V007M2]At;L^OL#$jQ6EL_$r=yYIo
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b4af6aa3-cab0-45d5-9b9e-4c2a684feefc/width=450/3821712.jpeg
modelVersions.hash: UIEVNZ01-WIV~o9FS2NG0K?HIWj]0K^+Rlxb
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a242a8a2-22b5-44c4-a2bb-a481c6c1ba6f/width=450/3821723.jpeg
modelVersions.hash: U49%|]00EJiw04=s.TMx.nK5-=bb@rO[DOg3
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bdc3175f-7e98-420c-b2af-9f61cf6c0e8a/width=450/3821715.jpeg
modelVersions.hash: UGEnq.j[0fs.-poLRja|0gj?}sWCIpWVxaju
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1dcc2f7f-5fa6-49ae-9963-4024e871e9d8/width=450/3821717.jpeg
modelVersions.hash: UJJ*8~t6M^s.~UoL9ca#5hWV+Nf6tJfisEfQ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa0f023b-2be6-4c5b-b4cc-f3d6cccc9c16/width=450/3821718.jpeg
modelVersions.hash: UOGRu9%101WB~pxaIBRk~pWCIUof?bRkM|of
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b1ed00ae-a2a0-498d-aee7-9ab98b49d57c/width=450/3821720.jpeg
modelVersions.hash: UEHe5u014;?u~pIV8{-:~pM{niof^kf6ELR*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6c39504b-8764-4f34-a98d-f1ea3434a817/width=450/3821722.jpeg
modelVersions.hash: UHE_:PL257^0pdOsELSdx^O@S#-U~WX-W-xt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2104499b-211b-4cf2-a9d3-26dc6ff8e49a/width=450/3821714.jpeg
modelVersions.hash: U8ASuKs.04WV^hj[9waz0Nay^ibH0Pay~8j@
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d5536671-19f6-4e98-8bd7-d4362de49979/width=450/3821713.jpeg
modelVersions.hash: UDG8ZUIoXSxu~pM{8_xuv%jsj=xu~Vaeslof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c13186f2-bbfb-4927-8ffa-a1c167eb3eb0/width=450/3821721.jpeg
modelVersions.hash: U9F;yYQ8150%~Ch|K5J.s=E5=Y-nB;ShMe-T
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dbb7f9c6-31a5-4859-bd43-a7a3eafd06ad/width=450/3821710.jpeg
modelVersions.hash: UKI4wy~pS~r??a%MV@M{%gx[xGM|?GbbIpRk
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/074161bc-1729-4af3-850a-271adb5c4d55/width=450/3821724.jpeg
modelVersions.hash: U5FO}ixtDN%L00NHwZE28xRk~VxZHXoIyYxt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/83e6796e-44dc-4dfa-b69d-0898ab911c01/width=450/3821725.jpeg
modelVersions.hash: UWKJe#tQxANe}SNINbkB]|RkN{jGIERkRmj@
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a67dbf0a-bf7a-4d7a-a9ba-f6aa6d7353d0/width=450/3821728.jpeg
modelVersions.hash: UED+e]R4R7%fCmR4MctlX:a0D$tlxwaKRjo}
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc9cd8cd-25a9-4ba1-831e-94612bb4375c/width=450/3821730.jpeg
modelVersions.hash: UJH1JO~V%2xt.S-:t7oy0fV@NbWV00E1smae
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5e0a975b-05df-4e10-ae62-99416fdf3a5f/width=450/3821726.jpeg
modelVersions.hash: U6BWi8t7D$of~qof9EfQ00ayM{ay-=ofIUWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/02800253-ca83-4b39-bd76-bf227c368399/width=450/3821729.jpeg
modelVersions.hash: U86k6eof57R+~Wof9tWC%hkCMxayK+bH#7n$
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b87c5d7f-2372-4465-bff7-83497f624ff4/width=450/3821731.jpeg
modelVersions.name: 3. 404 CIvitAI 4in1 Lora
modelVersions.publishedAt: 2023-11-22T05:23:56.233Z
modelVersions.trainedWords: 404 text 404 logo 404 Civitai404
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <pre><code>module type table: {'LohaModule': 176, 'LoConModule': 150, 'FullModule': 26, 'LokrModule': 700}
  enable_conv = true
  # UNet Target Modules and Names
  unet_target_module = ["Transformer2DModel", "ResnetBlock2D", "Downsample2D", "Upsample2D"]
  unet_target_name = ["conv_in", "conv_out", "time_embedding.linear_1", "time_embedding.linear_2"]
  # Text Encoder Target Modules and Names
  text_encoder_target_module = ["CLIPAttention", "CLIPMLP"]
  text_encoder_target_name = []  # "token_embedding" not supported
  # Module Algorithm Map
  module_algo_map = {
      "CrossAttention": {  # Attention Layer in UNet
          "algo": "lokr",
          "dim": 100000000000,
          "factor": 64
      },
      "FeedForward": {  # MLP Layer in UNet
          "algo": "lokr",
          "dim": 100000000000,  # Trigger full matrix
          "factor": 6
      },
      "ResnetBlock2D": {  # ResBlock in UNet
          "algo": "lora",
          "dim": 64,
          "alpha": 1,
          "use_tucker": true,  # Use tucker decomposition for convolution
          "factor": 8
      },
      "CLIPAttention": {  # Attention Layer in TE
          "algo": "loha",
          "dim": 32,
          "alpha": 1
      },
      "CLIPMLP": {  # MLP Layer in TE
          "algo": "lora",
          "dim": 64,  # Trigger full matrix
          "alpha": 1
      }
  }404, , logo 404, Civitai404,
  </code></pre>
modelVersions.downloadUrl: https://civitai.com/api/download/models/234705
modelVersions.downloadUrl: https://civitai.com/api/download/models/234705
modelVersions.AutoV1: FEDBF772
modelVersions.AutoV2: 092C0D1FE8
modelVersions.AutoV3: 8C43FE048D09
modelVersions.BLAKE3: 771BE7E81127D2B2FD5D5A827E59DC296FC1EAF095F3A656174C442F49B2E178
modelVersions.CRC32: 93393394
modelVersions.SHA256: 092C0D1FE8E52D871604B84BAEBFFA7569D7E7ECF8B77553D513770DA498D0CF
modelVersions.format: SafeTensor
modelVersions.name: FF-404-CivitAI-Lycoris-MIX-algo1.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-11-22T05:05:41.623Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UBAwF+IT_0t7?dD%ohM|59M_ESM|EgM{XSM{
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4e8c5c81-db64-4c78-a91c-912e35330f36/width=450/3822328.jpeg
modelVersions.hash: UHGk?b~U0gV@_4x]IVRkJ.xaxCxt?FxZs+xs
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/55466bd3-e653-41f6-b4ae-39601dacf5c0/width=450/3822357.jpeg
modelVersions.hash: U7I5Pl-;?YkXS4Rj~qkC4TV@9ZoJ00ayD*Ri
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5e68fe03-35b9-4634-9531-86508a383388/width=450/3822365.jpeg
modelVersions.hash: U5CigmIU00_306xtqsE1}7R-TKs*-Sj[ENRj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7ba7d9fb-eb09-411c-a278-f22bacb3796a/width=450/3822366.jpeg
modelVersions.hash: UaHeO6xvozMy~oI=odM|${ngslxZE2jrsl%1
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1eafe355-878f-451b-9e6b-6a09a0c5107a/width=450/3822359.jpeg
modelVersions.hash: U38=WVt700RPdAogV?RPHXxa5QNGY+tQ56R*
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b1bb1194-4826-45cd-87cb-46c2b24373cb/width=450/3822356.jpeg
modelVersions.hash: U5FO}ixtDN%L00NHwZE28xRk~VxZHXoIyYxt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/12dd0ea4-5d30-44b4-87c3-33862beff1cf/width=450/3822361.jpeg
modelVersions.hash: UnJ*0GIqIpxa~WI=t5o3v*W=oyWCZ~kCR-jY
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4f01151d-7876-4719-8562-d90848b75b85/width=450/3822355.jpeg
modelVersions.hash: U7EBNlM|00}?V{9_nN^4140%-U-o~BEhIUt7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/34ce1170-003f-4f4f-a60a-9b870733ea56/width=450/3822353.jpeg
modelVersions.hash: UQHdT#E2IpWB~VIpfPR*NHRkxZR+4poet6j@
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/618b6bf2-40c9-4b66-9156-205e5508e913/width=450/3822354.jpeg
modelVersions.hash: UBFhw@4=9G9b~Axt9v-o-PWC0N%102j?ayoJ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/761eaa8b-f081-48cd-9ab8-bcef7e98cc0d/width=450/3822360.jpeg
modelVersions.hash: U6Ig7F%002oL1nae0fNH4%M|^c$%0VsCS~xt
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b67c8159-8852-4967-8347-7fc9323aba2c/width=450/3822358.jpeg
modelVersions.hash: UEK0c.$%189wL#%103EOAdn$B=t6|oi_D%e-
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c55d53bc-5471-4539-a5e1-4878c104fec7/width=450/3822362.jpeg
modelVersions.hash: UHFhr7xa+uxGQRoe?HoJUHW;KiW=9YjZ9aWB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b329d90e-6f1e-47c5-bb1f-c408adc91808/width=450/3822363.jpeg
modelVersions.hash: UMABIcofD$f5%%kCDiae%2fRIUaxt5ayk8f6
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dd137763-aa29-432c-a0e4-a2511057dd02/width=450/3822364.jpeg
modelVersions.hash: U8Hw}m}*u50i00^IDi58_Mn#}l-oxu57%g~9
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c86eba87-0ac5-4d64-a6b4-bf57352cfcf3/width=450/3822369.jpeg
modelVersions.hash: USJjb:-pWB%2}[ofW;j[x]X8oyWB_NbbM{WB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e395ef0f-9f21-49b1-952a-acb20f7bc472/width=450/3822367.jpeg
modelVersions.hash: UEDw8W?wMw4o.T_N.7MxwM%gtlnhxvx]Ipxa
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/405cb2e3-6b89-48d5-bedf-4f3cf9b75443/width=450/3822368.jpeg
modelVersions.name: 2. LyCORIS - Mixed Algos
modelVersions.publishedAt: 2023-11-22T05:09:14.790Z
modelVersions.trainedWords: 404 text 404  logo 404 Civitai404
modelVersions.availability: Public
modelVersions.baseModel: SDXL 1.0
modelVersions.description: <p>ss_unet_lr:  "0.0005",</p><p>ss_cache_latents:  "True",</p><p>ss_lr_warmup_steps:  "0",</p><p>ss_face_crop_aug_range:  "None",</p><p>ss_lr_scheduler:  "cosine_with_restarts",</p><p>ss_full_fp16:  "False",</p><p>ss_learning_rate:  "0.0005",</p><p>ss_training_finished_at:  "1700409233.6392052",</p><p>ss_training_started_at:  "1700401555.9386072",</p><p>ss_zero_terminal_snr:  "False",</p><p>ss_sd_model_hash:  "be9edd61",</p><p>ss_num_train_images:  "760",</p><p>ss_num_batches_per_epoch:  "200",</p><p>ss_max_token_length:  "225",</p><p>ss_optimizer:  "bitsandbytes.optim.adamw.AdamW8bit(weight_decay=0.1)",</p><p>ss_epoch:  "16",</p><p>ss_caption_dropout_rate:  "0.0",</p><p>ss_multires_noise_discount:  "0.3",</p><p>ss_max_grad_norm:  "1.0",</p><p>ss_steps:  "3200",</p><p>ss_base_model_version:  "sdxl_base_v1-0",</p><p>ss_max_train_steps:  "3200",</p>
modelVersions.downloadUrl: https://civitai.com/api/download/models/234689
modelVersions.downloadUrl: https://civitai.com/api/download/models/234689
modelVersions.AutoV1: A551D0C0
modelVersions.AutoV2: 378A3C9759
modelVersions.AutoV3: AA84FD3343AC
modelVersions.BLAKE3: 604D64038D5F81A3812147CD9E99CC0A61207143D520F87C8FFD053535C82A82
modelVersions.CRC32: 22E8083B
modelVersions.SHA256: 378A3C9759AE45A25DF5357615883BF0BA93F997CF83820679750AEFAD6E2491
modelVersions.format: SafeTensor
modelVersions.name: FF_404_Inspiration.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-11-22T04:50:53.533Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: UHCsz7.8T0xuMyof9ZRP~Ws:DiRPX9t7tRa}
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f50b23bf-58e3-4f3d-bfc9-529ea3592715/width=450/3821004.jpeg
modelVersions.hash: U171~Eo#4UtS00oL00RP%jWB.TtROZWB_4t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/72b07c44-64b6-47c7-a82f-890540b301d9/width=450/3820997.jpeg
modelVersions.hash: UNE|SXD+-q.7?dIV-okDaROXgORQXpxuDiNG
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e170d41f-2171-44ee-810e-ca1211af9bc5/width=450/3821005.jpeg
modelVersions.hash: UDE.CzkU0]^,V=j]E2aw9Yax={Rko,W,IkNH
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0ca93053-e885-463d-b7d4-8b98c40ed358/width=450/3821006.jpeg
modelVersions.hash: UIE{09nP0_xwDkX7E1a#}[n+IpRjXVs:RgWU
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f85c3281-046d-428b-b6b7-2d339bb9b7a0/width=450/3821008.jpeg
modelVersions.hash: UFAd}~OrAC?^O@gNXSbuD4s:WBR5Mca0%2Vs
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/77dea595-d51c-40a4-9513-ee032529b0a5/width=450/3821007.jpeg
modelVersions.hash: UA9H;A_Nk8oyt,kYMzbdMIx^%hx^NGW;tRtR
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/264b9be7-3393-4df7-aa9b-485f120ac8b7/width=450/3821009.jpeg
modelVersions.hash: UHHBMU~Vm+RPrWxZNHay=X-o.8%L9^xZ$%xZ
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/263f195c-cd6b-4be4-b4ca-d68ef41f6049/width=450/3820998.jpeg
modelVersions.hash: UJF}.h%f5Ri{?]?GVsE2?b-:WBM|-ot7Ipn%
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/290ab8d1-4fcc-490a-baeb-b720bfe7182a/width=450/3821000.jpeg
modelVersions.hash: U8I.$@9v0h~95*5TEN^N03bb^O$f=tOX}X$4
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/42d6ae2c-6c7d-450c-b730-0e793ae0e0f8/width=450/3820996.jpeg
modelVersions.hash: U6F#L6170B^*^*6B^J-n4oEko|$K~B9uM|RO
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/576b082a-b456-4421-b988-2b3dab32d894/width=450/3821003.jpeg
modelVersions.hash: U4Eug,w~1osX}0jtE^a{25fP|Po3A,a{]YoM
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/876e391c-3659-4b8f-8ae5-431af1e8da40/width=450/3820995.jpeg
modelVersions.hash: U02Ze_t-00L#%GofIAR5HXfly?k;ozkWVEbH
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cfd15fda-882b-4e9c-bc2f-35b3a68fdf44/width=450/3821001.jpeg
modelVersions.hash: U47ViDof00WCQnf6yWkB00bH~VoLMefkx[j[
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/734d9a1b-f37a-401c-b458-8b64132d0d30/width=450/3821002.jpeg
modelVersions.hash: U17KuN_3IUWB4n00IU%M00~qRP4n9F-;xuof
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ceb16ae1-cbfc-43c2-9b3c-d58f8fec2243/width=450/3820999.jpeg
modelVersions.name: 1. FF_404_Inspiration
modelVersions.publishedAt: 2023-11-22T04:55:46.830Z
modelVersions.trainedWords: Civitai404 404 text 404 logo 404
name: 404 CivitAI Toolkit
tags: digital art tool basemodel 404