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+{"id":920709,"name":"Cat Tower (NoobAI XL checkpoint)","description":"<p>Cat Tower is anime style NoobAI XL checkpoint.</p><p>VAE is baked in.</p><h3 id=\"if-you-are-using-epsilon-pred-v1.1-downloaded-before-dec.-5th-2024-0:00-(utc)-and-only-black-or-gray-images-are-generated-please-re-download.-4z2g7nhuw\"><strong><span style=\"color:rgb(230, 73, 128)\">If you are using Epsilon-pred v1.1 downloaded before Dec. 5th, 2024 0:00 (UTC) and only black or gray images are generated, please re-download.</span></strong></h3><p><span style=\"color:rgb(250, 176, 5)\">v-prediction versions are experimental models.</span></p><p><span style=\"color:rgb(250, 176, 5)\">You need to use the webui that support v-prediction.</span></p><ul><li><p><span style=\"color:rgb(250, 176, 5)\">ComfyUI</span></p></li><li><p><span style=\"color:rgb(250, 176, 5)\">reForge</span></p></li><li><p><span style=\"color:rgb(250, 176, 5)\">AUTOMATIC1111 (v1.4 only, and place the config file in the same folder as the checkpoint)</span></p></li></ul><h3 id=\"recommended-setting-k90djv3zz\">Recommended Setting</h3><ul><li><p>Steps: 25-30</p></li><li><p>CFG scale: 5-7</p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Sampler (vPred v1.1- v1.5): Euler, Euler a</span></strong></p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Sampler (vPred v1): Euler</span></strong></p></li><li><p>Sampler (Epsilon-pred): DPM++ 2M Karras, Euler a</p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Scheduler (vPred v1.1 - v1.5) : Normal, Simple (\"Automatic\" produce noisy images.)</span></strong></p></li><li><p>Use ADetailer as needed</p></li></ul><h3 id=\"positive-prompt-204mzb0wl\">Positive Prompt</h3><pre><code>masterpiece, best quality</code></pre><h3 id=\"negative-prompt-thxxxn4a4\"><span style=\"color:rgb(193, 194, 197)\">Negative Prompt</span></h3><pre><code>worst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, light particles</code></pre><h3 id=\"merge-recipes-(vpred-v1.5)-jzqobvdow\">Merge recipes (vPred v1.5)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1190596\">NoobAI-V-Pred-1.0-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-1.0-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/920709?modelVersionId=1127268\">Cat Tower v1.1 Epsilon-pred</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.4,0.4,0.4,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging Checkpoint C and HarmoniqMix_vPred_v1 by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218?modelVersionId=1152429\">copycat-noob Vpred_v0.4</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1140829\">Noobai-XL-V-pred-0.75S-Version</a> to Checkpoint E by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1027203/noobvpencil-xl\">Add v_pred and ztsnr keys to Checkpoint F by noob_v_pencil-XL merge recipes</a> (Cat Tower vPred v1.5)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.4)-kjxh4xxnc\">Merge recipes (vPred v1.4)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1140829\">NoobAI-V-Pred-0.75S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-0.75S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/920709?modelVersionId=1127268\">Cat Tower v1.1 Epsilon-pred</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.4,0.4,0.4,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging Checkpoint C and <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint E by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.75S-Version and Checkpoint F by \"Weighted Sum\" with block (0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1) (Cat Tower vPred v1.4)</p></li></ol><h3 id=\"merge-recipes-(epsilon-pred-v1.1)-go05bquh5\">Merge recipes (Epsilon-pred v1.1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1116447\">NoobAI-XL Epsilon-pred 1.1-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-XL Epsilon-pred 1.1-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint A by \"trainDifference\" with blocks (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2) (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint B by \"trainDifference\" with blocks (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging style LoRA to Checkpoint C (Cat Tower Epsilon-pred v1.1)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.3)-6z4z28tn2\">Merge recipes (vPred v1.3)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-0.65S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> by \"Weighted Sum\" with block (0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.5,0.5,0.5,0.5,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint C by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between ExilluSPO Anime v1 and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/811067\">illustriousXL_smoothftSPO</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) (Cat Tower vPred v1.3)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.2)-ec4cutfvx\">Merge recipes (vPred v1.2)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.65S-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint B)</p></li><li><p>Merging Checkpoint A * (1 - 0.5) <em>+</em> Checkpoint B * 0.5 (Checkpoint C)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint C by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0.25,0,0,0.25,0.45,0.45,0.45,0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging style LoRA to Checkpoint E (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) with adjust (0,0,0,0,0,2.34,0,-0.95). (Cat Tower vPred v1.2)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.1)-f3f46jhdy\">Merge recipes (vPred v1.1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1070239\">NoobAI-V-Pred-0.6-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.6-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint A by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0.3,0,0,0.3,0.5,0.5,0.5,0,0,0,0,0) (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint B by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging style LoRA to Checkpoint C (Checkpoint D)</p></li><li><p>Merging NoobAI-V-Pred-0.6-Version and Checkpoint D by the following calc, NoobAI-V-Pred-0.6-Version + (Checkpoint D - NoobAI-V-Pred-0.6-Version). (Cat Tower vPred v1.1)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1)-yr6fof9yt\">Merge recipes (vPred v1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1046043\">NoobAI-V-Pred-0.5-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.5-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the subtract (<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> - NoobAI-V-Pred-0.5-Version) to Checkpoint A by \"Add Difference\" and \"Clamp\" (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint B by \"Train Difference\" with block (0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.2,0.3,0.3,0.3,0.1,0.1,0.1,0.1,0.1) (Checkpoint C)</p></li><li><p>Merging NoobAI-V-Pred-0.5-Version and Checkpoint C by the following calc, NoobAI-V-Pred-0.5-Version + (Checkpoint C - NoobAI-V-Pred-0.5-Version). (Cat Tower vPred v1)</p></li></ol><h3 id=\"merge-recipes-(epsilon-pred-v1)-9t0cdgzqj\">Merge recipes (Epsilon-pred v1)</h3><ol><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998?modelVersionId=1022962\">NoobaiCyberFix v1.0</a>, NoobaiCyberFix + (Cat Carrier - Raehoshi illust XL) x alpha (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2), mode = Add difference, calcmode = trainDifference (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint A, Checkpoint A + (copycat-noob - NoobAI-XL) x alpha (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0), mode = Add difference, calcmode = trainDifference (Checkpoint B)</p></li><li><p>Merging style LoRA to Checkpoint B (Cat Tower Epsilon-pred v1)</p></li></ol><h3 id=\"license-lj8pfdmrt\">License</h3><p>This model adheres to the <a target=\"_blank\" rel=\"ugc\" href=\"https://freedevproject.org/faipl-1.0-sd/\">Fair AI Public License 1.0-SD</a> and is available for non-commercial use only. 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catTowerNoobaiXL_v15Vpred/catTowerNoobaiXL_v15Vpred.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:107552c070575320ad6b23d915f3b4feb729a62753dd6c1e3b194f55829e3e1e
+size 6938040802

catTowerNoobaiXL_v15Vpred/catTowerNoobaiXL_v15Vpred.yaml

@@ -0,0 +1,98 @@
+model:
+  target: sgm.models.diffusion.DiffusionEngine
+  params:
+    scale_factor: 0.13025
+    disable_first_stage_autocast: True
+
+    denoiser_config:
+      target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser
+      params:
+        num_idx: 1000
+
+        weighting_config:
+          target: sgm.modules.diffusionmodules.denoiser_weighting.VWeighting
+        scaling_config:
+          target: sgm.modules.diffusionmodules.denoiser_scaling.VScaling
+        discretization_config:
+          target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization
+
+    network_config:
+      target: sgm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        adm_in_channels: 2816
+        num_classes: sequential
+        use_checkpoint: False
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [4, 2]
+        num_res_blocks: 2
+        channel_mult: [1, 2, 4]
+        num_head_channels: 64
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: [1, 2, 10]  # note: the first is unused (due to attn_res starting at 2) 32, 16, 8 --> 64, 32, 16
+        context_dim: 2048
+        spatial_transformer_attn_type: softmax-xformers
+        legacy: False
+
+    conditioner_config:
+      target: sgm.modules.GeneralConditioner
+      params:
+        emb_models:
+          # crossattn cond
+          - is_trainable: False
+            input_key: txt
+            target: sgm.modules.encoders.modules.FrozenCLIPEmbedder
+            params:
+              layer: hidden
+              layer_idx: 11
+          # crossattn and vector cond
+          - is_trainable: False
+            input_key: txt
+            target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2
+            params:
+              arch: ViT-bigG-14
+              version: laion2b_s39b_b160k
+              freeze: True
+              layer: penultimate
+              always_return_pooled: True
+              legacy: False
+          # vector cond
+          - is_trainable: False
+            input_key: original_size_as_tuple
+            target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND
+            params:
+              outdim: 256  # multiplied by two
+          # vector cond
+          - is_trainable: False
+            input_key: crop_coords_top_left
+            target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND
+            params:
+              outdim: 256  # multiplied by two
+          # vector cond
+          - is_trainable: False
+            input_key: target_size_as_tuple
+            target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND
+            params:
+              outdim: 256  # multiplied by two
+
+    first_stage_config:
+      target: sgm.models.autoencoder.AutoencoderKLInferenceWrapper
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          attn_type: vanilla-xformers
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult: [1, 2, 4, 4]
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity

catTowerNoobaiXL_v15Vpred/images.zip

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catTowerNoobaiXL_v15Vpred/model_info.json

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+{
+  "id": 920709,
+  "name": "Cat Tower (NoobAI XL checkpoint)",
+  "description": "<p>Cat Tower is anime style NoobAI XL checkpoint.</p><p>VAE is baked in.</p><h3 id=\"if-you-are-using-epsilon-pred-v1.1-downloaded-before-dec.-5th-2024-0:00-(utc)-and-only-black-or-gray-images-are-generated-please-re-download.-4z2g7nhuw\"><strong><span style=\"color:rgb(230, 73, 128)\">If you are using Epsilon-pred v1.1 downloaded before Dec. 5th, 2024 0:00 (UTC) and only black or gray images are generated, please re-download.</span></strong></h3><p><span style=\"color:rgb(250, 176, 5)\">v-prediction versions are experimental models.</span></p><p><span style=\"color:rgb(250, 176, 5)\">You need to use the webui that support v-prediction.</span></p><ul><li><p><span style=\"color:rgb(250, 176, 5)\">ComfyUI</span></p></li><li><p><span style=\"color:rgb(250, 176, 5)\">reForge</span></p></li><li><p><span style=\"color:rgb(250, 176, 5)\">AUTOMATIC1111 (v1.4 only, and place the config file in the same folder as the checkpoint)</span></p></li></ul><h3 id=\"recommended-setting-k90djv3zz\">Recommended Setting</h3><ul><li><p>Steps: 25-30</p></li><li><p>CFG scale: 5-7</p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Sampler (vPred v1.1- v1.5): Euler, Euler a</span></strong></p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Sampler (vPred v1): Euler</span></strong></p></li><li><p>Sampler (Epsilon-pred): DPM++ 2M Karras, Euler a</p></li><li><p><strong><span style=\"color:rgb(230, 73, 128)\">Scheduler (vPred v1.1 - v1.5) : Normal, Simple (\"Automatic\" produce noisy images.)</span></strong></p></li><li><p>Use ADetailer as needed</p></li></ul><h3 id=\"positive-prompt-204mzb0wl\">Positive Prompt</h3><pre><code>masterpiece, best quality</code></pre><h3 id=\"negative-prompt-thxxxn4a4\"><span style=\"color:rgb(193, 194, 197)\">Negative Prompt</span></h3><pre><code>worst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, light particles</code></pre><h3 id=\"merge-recipes-(vpred-v1.5)-jzqobvdow\">Merge recipes (vPred v1.5)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1190596\">NoobAI-V-Pred-1.0-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-1.0-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/920709?modelVersionId=1127268\">Cat Tower v1.1 Epsilon-pred</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.4,0.4,0.4,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging Checkpoint C and HarmoniqMix_vPred_v1 by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218?modelVersionId=1152429\">copycat-noob Vpred_v0.4</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1140829\">Noobai-XL-V-pred-0.75S-Version</a> to Checkpoint E by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1027203/noobvpencil-xl\">Add v_pred and ztsnr keys to Checkpoint F by noob_v_pencil-XL merge recipes</a> (Cat Tower vPred v1.5)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.4)-kjxh4xxnc\">Merge recipes (vPred v1.4)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1140829\">NoobAI-V-Pred-0.75S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-0.75S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/920709?modelVersionId=1127268\">Cat Tower v1.1 Epsilon-pred</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.4,0.4,0.4,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging Checkpoint C and <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> by \"Weighted Sum\" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint E by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.75S-Version and Checkpoint F by \"Weighted Sum\" with block (0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1) (Cat Tower vPred v1.4)</p></li></ol><h3 id=\"merge-recipes-(epsilon-pred-v1.1)-go05bquh5\">Merge recipes (Epsilon-pred v1.1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1116447\">NoobAI-XL Epsilon-pred 1.1-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-XL Epsilon-pred 1.1-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint A by \"trainDifference\" with blocks (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2) (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint B by \"trainDifference\" with blocks (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging style LoRA to Checkpoint C (Cat Tower Epsilon-pred v1.1)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.3)-6z4z28tn2\">Merge recipes (vPred v1.3)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint A)</p></li><li><p>Finetuning NoobAI-V-Pred-0.65S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps</p></li><li><p>Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)</p></li><li><p>Merging Checkpoint B and <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> by \"Weighted Sum\" with block (0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.5,0.5,0.5,0.5,0.0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/615558\">Catloaf</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/257749/pony-diffusion-v6-xl?modelVersionId=290640\">ponyDiffusionV6XL</a> to Checkpoint C by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging the difference between ExilluSPO Anime v1 and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/811067\">illustriousXL_smoothftSPO</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) (Cat Tower vPred v1.3)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.2)-ec4cutfvx\">Merge recipes (vPred v1.2)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.65S-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1093948\">NoobAI-V-Pred-0.65S-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/840857/itercomp\">IterComp</a> by <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/980544/noob-vpred-itercomp-merge\">Noob Vpred itercomp merge's recipes</a>. (Checkpoint B)</p></li><li><p>Merging Checkpoint A * (1 - 0.5) <em>+</em> Checkpoint B * 0.5 (Checkpoint C)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint C by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0.25,0,0,0.25,0.45,0.45,0.45,0,0,0,0,0) (Checkpoint D)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint D by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)</p></li><li><p>Merging style LoRA to Checkpoint E (Checkpoint F)</p></li><li><p>Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) with adjust (0,0,0,0,0,2.34,0,-0.95). (Cat Tower vPred v1.2)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1.1)-f3f46jhdy\">Merge recipes (vPred v1.1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1070239\">NoobAI-V-Pred-0.6-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.6-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint A by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0.3,0,0,0.3,0.5,0.5,0.5,0,0,0,0,0) (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint B by \"Train Difference\" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)</p></li><li><p>Merging style LoRA to Checkpoint C (Checkpoint D)</p></li><li><p>Merging NoobAI-V-Pred-0.6-Version and Checkpoint D by the following calc, NoobAI-V-Pred-0.6-Version + (Checkpoint D - NoobAI-V-Pred-0.6-Version). (Cat Tower vPred v1.1)</p></li></ol><h3 id=\"merge-recipes-(vpred-v1)-yr6fof9yt\">Merge recipes (vPred v1)</h3><ol><li><p>Merging <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=1046043\">NoobAI-V-Pred-0.5-Version</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/312530/cyberrealistic-xl\">cyberrealisticXL_v31,</a> and replace CLIP by NoobAI-V-Pred-0.5-Version. It's a same method of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998\">NoobaiCyberFix</a>. (Checkpoint A)</p></li><li><p>Merging the subtract (<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/hybskgks28275/checkpoint/tree/main/HarmoniqMix_vPred_v1\">HarmoniqMix_vPred_v1</a> - NoobAI-V-Pred-0.5-Version) to Checkpoint A by \"Add Difference\" and \"Clamp\" (Checkpoint B)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to Checkpoint B by \"Train Difference\" with block (0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.2,0.3,0.3,0.3,0.1,0.1,0.1,0.1,0.1) (Checkpoint C)</p></li><li><p>Merging NoobAI-V-Pred-0.5-Version and Checkpoint C by the following calc, NoobAI-V-Pred-0.5-Version + (Checkpoint C - NoobAI-V-Pred-0.5-Version). (Cat Tower vPred v1)</p></li></ol><h3 id=\"merge-recipes-(epsilon-pred-v1)-9t0cdgzqj\">Merge recipes (Epsilon-pred v1)</h3><ol><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/860278?modelVersionId=962511\">Cat Carrier v1.0</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/846917?modelVersionId=947491\">Raehoshi illust XL v1.0</a> to <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/913998?modelVersionId=1022962\">NoobaiCyberFix v1.0</a>, NoobaiCyberFix + (Cat Carrier - Raehoshi illust XL) x alpha (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2), mode = Add difference, calcmode = trainDifference (Checkpoint A)</p></li><li><p>Merging the difference between <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/894218/copycat-noob?modelVersionId=1010358\">copycat-noob v0.3test</a> and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294?modelVersionId=998979\">NoobAI-XL Epsilon-pred 0.75-Version</a> to Checkpoint A, Checkpoint A + (copycat-noob - NoobAI-XL) x alpha (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0), mode = Add difference, calcmode = trainDifference (Checkpoint B)</p></li><li><p>Merging style LoRA to Checkpoint B (Cat Tower Epsilon-pred v1)</p></li></ol><h3 id=\"license-lj8pfdmrt\">License</h3><p>This model adheres to the <a target=\"_blank\" rel=\"ugc\" href=\"https://freedevproject.org/faipl-1.0-sd/\">Fair AI Public License 1.0-SD</a> and is available for non-commercial use only. Commercial use is prohibited.</p><p>Hide</p>",
+  "allowNoCredit": true,
+  "allowCommercialUse": [
+    "RentCivit"
+  ],
+  "allowDerivatives": true,
+  "allowDifferentLicense": false,
+  "type": "Checkpoint",
+  "minor": false,
+  "poi": false,
+  "nsfw": false,
+  "nsfwLevel": 31,
+  "cosmetic": null,
+  "stats": {
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+  "creator": {
+    "username": "nuko_masshigura",
+    "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ee3b8454-4ed9-42d5-8492-be9241ffda3b/width=96/nuko_masshigura.jpeg"
+  },
+  "tags": [
+    "anime",
+    "base model"
+  ],
+  "modelVersions": [
+    {
+      "id": 1200764,
+      "index": 0,
+      "name": "v1.5 (vPred)",
+      "baseModel": "Illustrious",
+      "baseModelType": "Standard",
+      "createdAt": "2024-12-25T05:23:04.367Z",
+      "publishedAt": "2024-12-25T05:43:28.951Z",
+      "status": "Published",
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