[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-detail-3698e7747cde9fb4f3bf6a76f2af60d0":3},{"appeal_count":4,"desc":5,"type":6,"meta":7,"tags":8,"trained_words":7,"refer":11,"id":40,"author":41,"commercial":44,"sys_tag":7,"channel":46,"ver":47,"allow_use_in_haiyi":44,"interaction":48,"hashs":49,"rank_level_list":68,"mix":44,"agency_fee":4,"payment_way":44,"model_ver_nos":69,"download":44,"is_agency_fee":12,"is_preset":72,"cover_width":162,"publish_status":44,"allow_sell":44,"allow_resell":72,"cover":163,"base_model":164,"nsfw_level":4,"name":165,"cover_height":166,"update_at":167,"collect":7,"model_info_v2":168,"base_model_title":164,"stat":170,"file_id":174,"is_auditing":44,"last_ver_create_at":175,"origin_model":7,"nsfw":72,"model_ver_no":71,"samples":176,"can_subscribe":72,"audit_status":237,"train_param":239,"version_name":47,"status":44,"pre_set_meta":7,"allow_creation":4,"model_ver_info_v2":240,"categories":7,"cover_v2":179,"sub_type":4,"create_at":243,"ip_risk":12},0,"\u003Cp>Recipes v64-Noob:\u003C\u002Fp>\u003Cp>partA = Gay621XL v1 + sdxl_lightning_8step_lora\u003C\u002Fp>\u003Cp>partB = partA + PlantMilkModelSuite-HempII * 0.45\u003C\u002Fp>\u003Cp>partC = partB + (ChenkinNoobXL v01 - NoobAI XL Epsilon v11) * addDiff:0.55\u003C\u002Fp>\u003Cp>partD = partC + (BSSRealluxura_v10Beta - partC) * trainDiff:0.35\u003C\u002Fp>\u003Cp>partE = partD + ZoinksNoob * 0.55\u003C\u002Fp>\u003Cp>partF = partE + (YiffyMix v62 - partE) * trainDiff:0.65\u003C\u002Fp>\u003Cp>YiffyMix v63-Noob = partF + LoRA:[SPO-SDXL_4k-p_10ep_LoRA_webui] * 0.35\u003C\u002Fp>","Checkpoint",null,[9,14,17,19,21,23,25,28,31,34,37,39],{"title":10,"cover":11,"is_collect":12,"show_in":4,"id":13},"Furry","",false,"furry",{"id":15,"title":16,"cover":11,"is_collect":12,"show_in":4},"anime","Anime",{"cover":11,"is_collect":12,"show_in":4,"id":18,"title":18},"feral",{"id":20,"title":20,"cover":11,"is_collect":12,"show_in":4},"animals",{"show_in":4,"id":22,"title":22,"cover":11,"is_collect":12},"yiff",{"is_collect":12,"show_in":4,"id":24,"title":24,"cover":11},"characters",{"id":26,"title":27,"cover":11,"is_collect":12,"show_in":4},"base model","Base Model",{"is_collect":12,"show_in":4,"id":29,"title":30,"cover":11},"anthro","Humanoid",{"is_collect":12,"show_in":4,"id":32,"title":33,"cover":11},"realistic","Realism",{"title":35,"cover":11,"is_collect":12,"show_in":4,"id":36},"Illustrious","illustrious",{"id":38,"title":38,"cover":11,"is_collect":12,"show_in":4},"cartoon",{"is_collect":12,"show_in":4,"id":13,"title":10,"cover":11},"3698e7747cde9fb4f3bf6a76f2af60d0",{"is_active":12,"join_stimulate":4,"id":42,"head":11,"avatar_frame":11,"is_follow":12,"name":43,"status":44,"num_of_view":45},"chilon249","chilon249_rel_260420",1,55,5,"v64-NoobXL_rel_260420",{"rating":4,"rating_time":4},[50,53,56,59,62,65],{"hash":51,"type":52},"92D29F1D","AutoV1",{"hash":54,"type":55},"227676B0BB","AutoV2",{"type":57,"hash":58},"AutoV3","03A84B57EDC3",{"type":60,"hash":61},"SHA256","227676B0BB4871D323E8EC3503F73A8DB358B72F3488EA70076239B8AE34687C",{"type":63,"hash":64},"CRC32","73266568",{"type":66,"hash":67},"BLAKE3","686C3DEEF25A97D99C3566F0DDAAA7C6B7859240BD8A9EEBB1297840D6EEF1CE",[],[70,74,78,82,86,90,94,98,102,106,110,114,118,122,126,130,134,138,142,146,150,154,158],{"id":71,"version_name":47,"can_subscribe":72,"same":73},"c22800f312d4de7dd4fdbe53d4ff7f6b",2,{"primary":44,"train_model_no":11,"train_ui_mode":4},{"same":75,"id":76,"version_name":77,"can_subscribe":72},{"primary":44,"train_model_no":11,"train_ui_mode":4},"ae8fe58fe27de5fe3e9be86cae81b33f","v63-NoobXL_rel_260420",{"id":79,"version_name":80,"can_subscribe":72,"same":81},"16d9833d0f7040c034b488f2d7d0f2b7","v62-NoobXL_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"version_name":83,"can_subscribe":72,"same":84,"id":85},"v61a-RE-NoobXL_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},"9fee37507d83f4f0f8534982a1c5f876",{"id":87,"version_name":88,"can_subscribe":72,"same":89},"38153ae747a953f7ba77f9f467f36134","v61-NoobXL_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"can_subscribe":72,"same":91,"id":92,"version_name":93},{"train_ui_mode":4,"primary":44,"train_model_no":11},"fe06667a0ad167a0a969ebc3d850473a","v60-NoobXL_rel_260420",{"id":95,"version_name":96,"can_subscribe":72,"same":97},"ce588a8a45fe442d6810b73c09509a96","v44_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"can_subscribe":72,"same":99,"id":100,"version_name":101},{"primary":44,"train_model_no":11,"train_ui_mode":4},"ce7a126cc041eb682f06b05d117e7da9","v43_rel_260420",{"id":103,"version_name":104,"can_subscribe":72,"same":105},"9214ef46c7303930b9b34df4ec397115","v42_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":107,"version_name":108,"can_subscribe":72,"same":109},"09c2a0844a2cf754ab526a8feb22c1a7","v41_rel_260420",{"train_ui_mode":4,"primary":44,"train_model_no":11},{"same":111,"id":112,"version_name":113,"can_subscribe":72},{"primary":44,"train_model_no":11,"train_ui_mode":4},"122da4006be3a1e1f006ade65d0a8245","v40_rel_260420",{"same":115,"id":116,"version_name":117,"can_subscribe":72},{"primary":44,"train_model_no":11,"train_ui_mode":4},"601088c5913218a8c5942a895c990c11","v37_rel_260420",{"version_name":119,"can_subscribe":72,"same":120,"id":121},"v36_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},"77c3b44eb9ba82af5183bf038ab10e3c",{"id":123,"version_name":124,"can_subscribe":72,"same":125},"47e68075e18790cabbdae0f7d7c90fca","v35_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":127,"version_name":128,"can_subscribe":72,"same":129},"33e26f4fc51806e5bc7271b7cdcba05e","v34_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":131,"version_name":132,"can_subscribe":72,"same":133},"3788f1784b40d9892eb2756aaf7a159f","v33_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":135,"version_name":136,"can_subscribe":72,"same":137},"670d8e198b674be03bb12f96a5c02bfa","v32_rel_260420",{"train_model_no":11,"train_ui_mode":4,"primary":44},{"same":139,"id":140,"version_name":141,"can_subscribe":72},{"primary":44,"train_model_no":11,"train_ui_mode":4},"595183462a8f17806368963ac335beed","v31_rel_260420",{"id":143,"version_name":144,"can_subscribe":72,"same":145},"2de63b1b1cb56b8842d2bc2a9474dff3","v30_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":147,"version_name":148,"can_subscribe":72,"same":149},"cf2855a91419670b61fa778656130a41","v22_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"id":151,"version_name":152,"can_subscribe":72,"same":153},"c4551ce75c3f8825dfdf339f5efcbb3f","v21_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},{"version_name":155,"can_subscribe":72,"same":156,"id":157},"v20_rel_260420",{"primary":44,"train_model_no":11,"train_ui_mode":4},"63fc2e0b8f6fa414a2b8095c45384b29",{"can_subscribe":72,"same":159,"id":160,"version_name":161},{"primary":44,"train_model_no":11,"train_ui_mode":4},"d69c3349aaddddf5e8d37b9b9ba0e134","v10_rel_260420",960,"https:\u002F\u002Fimage.seaartcdn.com\u002Fstatic\u002Fimages\u002F20260130\u002F26491ea96bb742f75b25171eb0c345d6_high.webp","NoobAI","YiffyMix_rel_260420",1408,1769752924131,{"id":40,"desc":169},"\u003Cp>Use e621 tags (https:\u002F\u002Fe621.net\u002Ftags?commit=Search&search%5Bhide_empty%5D=1&search%5Bname_matches%5D=%2A&search%5Border%5D=count) (no underscore), Artist tag very effective in YiffyMix.\u003C\u002Fp>\u003Cp>GridList Species\u002FArtist(v64) update!!  (https:\u002F\u002Fdrive.google.com\u002Fdrive\u002Ffolders\u002F14KBOBP1TVNY1DIvbzw2ljAM-pjEpsz3l)& LoRAs (SDXL)\u002Fsamples\u002Fwildcards (https:\u002F\u002Fmega.nz\u002Ffolder\u002FUBxDgIyL#K9NJtrWTcvEQtoTl508KiA)\u003C\u002Fp>\u003Cp>Recommend Artist tags (NoobXL)  (https:\u002F\u002Fmega.nz\u002Ffolder\u002FAJBxGRQY#Q5Slojcs0RrBHyaiTcUyWA)& comfyUI workflow (https:\u002F\u002Fmega.nz\u002Ffolder\u002FUBxDgIyL#K9NJtrWTcvEQtoTl508KiA\u002Ffolder\u002FERhywLpJ).\u003C\u002Fp>\u003Ch2 id=\"example-setting-(use-recommended-sampler-to-get-correct-quality)\">\u003Cstrong>Example Setting (Use recommended sampler to get correct quality)\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>\u003Cstrong>Setting SDXL (SDXL-lightning & NoobXL)\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Steps = 12~24\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Sampler = \"DDPM\", \"Euler A SGMUniform\", \"Euler SGMUniform\"\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>CFG scale = 3~4\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Negative embeddings SDXL = ac-neg1 (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F148131?modelVersionId=166373), ac-neg2 (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F148131?modelVersionId=166375) (You don't really need this)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Postive LoRA SDXL = \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002Ffeffy\u002Fseaart-quality\u002Ftree\u002Fmain\">SeaArt Quality Tags LoRA \u003C\u002Fa>(You don't really need this)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Stop at CLIP layers = 2\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Setting SD 1.5 + vpred\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Steps = 30~40\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Sampler = \"DPM++ 2M Karras\", \"DPM++ SDE Karras\", \"DDIM\", \"UniPC\"\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>CFG scale = 6~8\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Negative embeddings = deformity_v6 (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F16807\u002Fuseful-quality-embeddings-animeillustdiffusion?modelVersionId=53718), bwu  (https:\u002F\u002Fcivitai.com\u002Fapi\u002Fdownload\u002Fmodels\u002F84134?type=Training%20Data)[SD-WebUI\\embeddings]\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Stop at CLIP layers = 1\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>SD VAE = kl-f8-anime2, (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F118561\u002Fanything-kl-f8-anime2-vae-ft-mse-840000-ema-pruned-blessed-clearvae-fp16cleaned)  (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F23906?modelVersionId=28569)Furception (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F267710) [SD-WebUI\\models\\VAE]\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Hires. fix\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Hires steps = Steps  Denoising strength\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Denoising strength = 0.25\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Hires upscaler = 4x-UltraMix_Smooth  (https:\u002F\u002Fmega.nz\u002Ffolder\u002FqZRBmaIY#8KyWFcGNTuMX_XNbJ_g\u002Ffolder\u002FzJI3EY6T)[SD-WebUI\\models\\ESRGAN]\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>ControlNet\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>ControlNet = softedge_hed, \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002Flllyasviel\u002FControlNet-v1-1\u002Ftree\u002Fmain\">control_v11p_sd15_softedge\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>ControlNet SDXL = softedge_hed, \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FSargeZT\u002Fcontrolnet-sd-xl-1.0-softedge-dexined\u002Ftree\u002Fmain\">sdxlsoftedge-dexined, \u003C\u002Fa>noobai-xl-controlnet (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F929685\u002Fnoobai-xl-controlnet)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>ControlNet Weight = 0.35~0.5\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>ControlNet Pixel Perfect = true\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Wan 2.2 ComfyUI Animeted [\u003C\u002Fstrong>workflow (https:\u002F\u002Fmega.nz\u002Ffile\u002FhMxhGBoT#p67B8GNYXJXGK9GWAgt39ENR_ec2X3tTKPcFGuZuvAk)]\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>model = \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FComfy-Org\u002FWan_2.2_ComfyUI_Repackaged\u002Fblob\u002Fmain\u002Fsplit_files\u002Fdiffusion_models\u002Fwan2.2_ti2v_5B_fp16.safetensors\">wan2.2_ti2v_5B_fp16\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>clip = \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FKijai\u002FWanVideo_comfy\u002Fblob\u002Fmain\u002Fumt5-xxl-enc-bf16.safetensors\">umt5-xxl-enc-bf16\u003C\u002Fa> \u002F \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FComfy-Org\u002FWan_2.1_ComfyUI_repackaged\u002Fblob\u002Fmain\u002Fsplit_files\u002Ftext_encoders\u002Fumt5_xxl_fp8_e4m3fn_scaled.safetensors\">umt5_xxl_fp8_e4m3fn_scaled\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>vae = \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FComfy-Org\u002FWan_2.2_ComfyUI_Repackaged\u002Fblob\u002Fmain\u002Fsplit_files\u002Fvae\u002Fwan2.2_vae.safetensors\">wan2.2_vae\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>lora (turbo) = \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FKijai\u002FWanVideo_comfy\u002Fblob\u002Fmain\u002FLoRAs\u002FWan22-Turbo\u002FWan22_TI2V_5B_Turbo_lora_rank_64_fp16.safetensors\">lora_wan2.2_ti2v_5B_turbo_lora_rank_64_fp16\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>lora (furry-) = wan2.2-5B_furry--v2.0-e83 (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F1827161\u002Ffurry--wan-22-5b)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>lora (livewallpaper) = wan2.2-5B_ (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F1827161\u002Ffurry--wan-22-5b)livewallpaper-720p (https:\u002F\u002Fcivitai.com\u002Fmodels\u002F1264662?modelVersionId=2080103)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>sampler = steps:4, cfg:1, sampler:\"eular_ancestral\", schedule:\"sgm_uniform\"\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>SD WebUI\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002FXeno443\u002FreForge-portable\">reForge\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002FTikFesku\u002Fsd-webui-forge-neo-portable\u002Ftree\u002Fmain\">Forge\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fgithub.com\u002FAUTOMATIC1111\u002Fstable-diffusion-webui\">A1111\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>LoRA Training SDXL\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>imgs count = 15~50\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>total steps = epoch  imgs count  folder loop = 3000~4500\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>network_dim = 64\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>network_alpha = 128 (SDXL) \\ 16 (Noob)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>learning_rate = 0.0002~0.0005\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>unet_lr = 0.0001 #learning_rate\u002F2\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>text_encoder_lr = 0.00005 #learning_rate\u002F4\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>lr_scheduler = \"cosine_with_restarts\"\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>mixed_precision = \"bf16\"\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>optimizer_type = \"Adafactor\"\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>optimizer_args = [ \"scale_parameter=False\", \"relative_step=False\", \"warmup_init=False\", ]\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 id=\"yiffymix-v4x-v-pred-setting\">\u003Cstrong>YiffyMix v4x V-pred Setting\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong># YiffyMix v4x A1111 SD-WebUI or Forge V-pred Setting\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>1.Download config file \".yaml\" paste next to the model.\u003C\u002Fp>\u003Cp>2.Raname \".yaml\" same as model name. ( check the \".yaml\" has [parameterization: \"v\"] line )\u003C\u002Fp>\u003Cp>3.Restart SD-WebUI ( if config fails to load, the model just generate noise )\u003C\u002Fp>\u003Cp>\u003Cstrong># YiffyMix v4x ComfyUI or \u003C\u002Fstrong>\u003Cspan style=\"color:rgb(193, 194, 197)\">\u003Cstrong>StableSwarmUI\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cstrong> V-pred Setting\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Add node \"ModelSamplingDiscrete\", Sampling = \"v_prediction\"\u003C\u002Fp>\u003Cp>workflow demo (https:\u002F\u002Fmega.nz\u002Ffile\u002F9JhWjD6Q#JWe-XhGubwX3BapQfP8A-1Q0S-YU1D1G1z176VxM3U0)\u003C\u002Fp>\u003Cp>\u003Cstrong># ComfyUI V-pred Setting (old version)\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>1.Copy config \".yaml\" to [ComfyUI\\models\\configs] and refresh ComfyUI\u003C\u002Fp>\u003Cp>2.\"Load Checkpoint (With Config)\" [Right Click\\AddNode\\advanced\\model_merging]\u003C\u002Fp>\u003Cp>workflow:[Load Checkpoint (With Config)]-[KSampler]-[VAE Decode]-[Save Image]\u003C\u002Fp>\u003Cp>\u003Cstrong># v-pred mode troubleshoot\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>If you use new version webui-forge and \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fgithub.com\u002Flllyasviel\u002Fstable-diffusion-webui-forge\u002Fissues\u002F123\">failed detect v-pred model\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>Try update webui-forge (click update.bat).\u003C\u002Fp>\u003Cp>When loading v-pred model, you will see this line in cmd console:\u003C\u002Fp>\u003Cp>left over keys: dict_keys(['v_pred'])\u003C\u002Fp>\u003Cp>\u003Cstrong># v4.x some time will get little fried issue image in this case\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Use \"Dynamic Prompts with __wildcards__ prompts\" and \"batch size > 1\"\u003C\u002Fp>\u003Cp>Just generate again with same prompts with parament, it will return normal.\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"version-info\">\u003Cstrong>Version Info\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>v1.x [2D,512~768] \u003C\u002Fstrong>old model, unstable, low resolution\u003C\u002Fp>\u003Cp>\u003Cstrong>v2.x [2D,512~896] \u003C\u002Fstrong>e621 dataset + 30~40% SD5 dataset\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.0 [2D,3D,512~1088] \u003C\u002Fstrong>large dataset then v2.x version, can do 2D, 3D\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.1 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>more realistic, but loss some concept (e621 tag count lower 1000)\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.2 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>unstable version, use SNR version FluffyRock, more noise detail\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.3 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>stable version, more detail, more sensitive to prompts\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.4 [2D,3D,Real,512~1088] \u003C\u002Fstrong>※include Fluffy Rock Quality Tags-LoRA\u003C\u002Fp>\u003Cp>stable version, more detail, clear result, reduce some noise (like bush,pattern)\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.5 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>unstable version, contrast & detailed enhance\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.6 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>stable version, more sensitive to e621 tags\u003C\u002Fp>\u003Cp>\u003Cstrong>v3.7 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>stable version, reduce noise overactivity, fix blurry eyes and finger error, fix failed background depth\u003C\u002Fp>\u003Cp>\u003Cstrong>v4.0 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>v-pred version, remix from \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fhuggingface.co\u002Fzatochu\u002FEasyFluff\u002Ftree\u002Fmain\">EasyFluff\u003C\u002Fa>\u003C\u002Fp>\u003Cp>accuracy  and style with fewer prompt,\u003C\u002Fp>\u003Cp>little dim blue average color with smooth noise, weakly negative prompt issue\u003C\u002Fp>\u003Cp>\u003Cstrong>v4.1 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>v-pred version, color and low contrast fix, reduced realistic noise.\u003C\u002Fp>\u003Cp>\u003Cstrong>v4.2 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>v-pred version, more contrast and detail, yelow issue.\u003C\u002Fp>\u003Cp>if you feel too fried use \u003Ca target=\"_blank\" rel=\"ugc\" href=\"https:\u002F\u002Fgithub.com\u002FSeshelle\u002FCFG_Rescale_webui\">Rescale CFG \u003C\u002Fa>=0.35\u003C\u002Fp>\u003Cp>\u003Cstrong>v4.3 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>v-pred version, clear artist style, fix most yellow\u002Fbrown issue\u003C\u002Fp>\u003Cp>the version doesn't need CFG Rescale\u003C\u002Fp>\u003Cp>\u003Cstrong>v4.4 [2D,3D,Real,512~1088]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>v-pred version, no more yellow\u002Fbrown issue.\u003C\u002Fp>\u003Cp>the version doesn't need CFG Rescale\u003C\u002Fp>\u003Cp>\u003Cstrong>v5.0 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>SDXL-lightning version, base on Compassmix XL.\u003C\u002Fp>\u003Cp>\u003Cstrong>v5.1 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>SDXL-lightning version, more e621 dataset, lower human face, better  stuff.\u003C\u002Fp>\u003Cp>\u003Cstrong>v5.2 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>SDXL-lightning version, increase average quality. Little unstable than v51 but more creative.\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.0 [2D,3D,res:896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>More character better sex pose, limited and uncontrollable style (mostlly anime style).\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.1 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>More realistic detail, reduce anime style, fix flat and boring background.\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.1a-RE [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Same as v61 but adjust average style to simi-realistic.\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.2 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>more effective prompt, keep style also with good realistic detail, saturation down little bit.\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.3 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Detail(noise) level between v62 and v61, upgrade character\u002Fartist accuracy.\u003C\u002Fp>\u003Cp>\u003Cstrong>v6.4 [2D,3D,Real,896~1536]\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Upgrade light quality and average detail.\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"note-about-noobxl-to-create-stable-furry-(v6x):\">\u003Cstrong>Note about NoobXL to create stable furry (v6x):\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>use \"furry\" tag in propmt can let AI create furry not human.\u003C\u002Fp>\u003Cp>use \"no human\" tag in propmt can avoid NoobXL model add human and reduce anthro affect (more original style).\u003C\u002Fp>\u003Cp>use \"anime style\" in negative propmt can reduce classic booru style and more realistic.\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"some-sd-prompt-trick:\">\u003Cstrong>Some SD prompt trick:\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>Combine two character:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>characterA \\(characterB\\)\u003C\u002Fp>\u003Cp>\u003Cstrong>Avoid tag bleeding:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>(chain:0)-link fence\u003C\u002Fp>\u003Cp>(cowboy:0) shot\u003C\u002Fp>\u003Cp>high (collar:0)\u003C\u002Fp>\u003Cp>\u003Cstrong>Multi-tag combine, enhance and reduce token use:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>from side + side view = from side view\u003C\u002Fp>\u003Cp>crossed legs + legs up = crossed legs up\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"basic-style\">\u003Cstrong>Basic Style\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>Negative Prompt SD1.5\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>unusual , mutilated, malformed, watermark,\u003C\u002Fp>\u003Cp>amputee, mosaic censorship, sketch, monochrome\u003C\u002Fp>\u003Cp>\u003Cstrong>Negative Prompt SDXL\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>malformed, worst quality, bad quality, signature, text, url\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"3d-artwork-style\">\u003Cstrong>3D Artwork Style\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>Prompt v5x: \u003C\u002Fstrong>blender \\(software\\), ray tracing, 3d, unreal engine\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"photorealistic-style-sdxl\">\u003Cstrong>Photorealistic Style SDXL\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>Prompt v5x:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>by Mandy Disher, by Wim Wenders, by Robert Rauschenberg, [by Fossa666::0.65],\u003C\u002Fp>\u003Cp>ultra realistic, photorealism, photograph\u003C\u002Fp>\u003Cp>\u003Cstrong>Negative prompt v5x: \u003C\u002Fstrong>sketch, manga, vector, line art, toony\u003C\u002Fp>\u003Cp>\u003Cstrong>Prompt v6x: \u003C\u002Fstrong>film photography, photorealistic, film grain\u003C\u002Fp>\u003Cp>\u003Cstrong>Negative prompt v6x: \u003C\u002Fstrong>anime style, vibrant, pastel\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Ch3 id=\"photorealistic-style-sd1.5\">\u003Cstrong>Photorealistic Style SD1.5\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cstrong>Prompt sd15: \u003C\u002Fstrong>[:photorealistic, analog style, realistic, 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