
Focused mainly on realistic portraits and flexibility, with higher native resolution support. (V8: 896x1152, up to 1024x1280, 1280x1280)
Example images are somewhat cherry-picked, no hi-res upscale used, no face-fix.
CLIP Skip 2 might help with realism in some cases while sacrificing fantasy aspects, experiment with it.
V9/V8/V7 comparison (896x1152):

V8/V7 comparisons:
1024x1280


768x1024

V1 Recipe (might not be exactly how I did it):
Exp1-Tier1: (using add difference for all)
- 
GreyModel v12.0.0 + Dreamlike Photo v2 (25%) 
- 
+ Woop Photo (25%) 
- 
+ Protogen Infinity (25%) 
- 
+ ArtEros (15%) 
- 
+ HSPU (15%) 
- 
+ URPM (15%) 
- 
+ F222 (15%) 
- 
+ AlmostDirty (15%) 
- 
+ BondageV10 (5%) 
- 
+ TWAM (5%) 
- 
+ SXD1.0 (5%) 
- 
+ 3DKX1.1 (1%) 
- 
+ Hassan1.5 (1%) 
- 
+ OpenJourneyV2 (1%) 
- 
+ StrangeDedication2 (1%) 
Exp1-Tier2-Part1: (still add diff)
- 
GreyModel12.0.0 + AnalogPhoto (25%) 
- 
+ Dreamlike Photoreal v1 (25%) 
- 
+ Amphibia Diffusion (15%) 
- 
+ Artstation (15%) 
- 
+ CALARTS (15%) 
- 
+ ChromaV5 (15%) 
- 
+ Corporate Memphis (15%) 
- 
+ NitroDiffusion (10%) 
- 
+ Dreamlike Diffusion (10%) 
- 
+ FracTime (10%) 
- 
+ InkPunk (10%) 
- 
+ Midjourney-v4-diff (10%) 
- 
+ RPGv2 (10%) 
- 
+ SeekArt MEGA (10%) 
- 
+ Colorjizz768 (5%) 
- 
+ Double Exposure (5%) 
- 
+ MegaPals (5%) 
Exp1-Tier2-Part2: (add diff)
- 
GreyModel12.0.0 + MosaicArt (5%) 
- 
+ RealisticCartoon (5%) 
- 
+ Strahd (5%) 
- 
+ Technicolor (5%) 
- 
+ DMT Entity (1%) 
- 
+ Elysium (1%) 
- 
+ BalloonArt (1%) 
- 
+ DnDClasses (1%) 
- 
+ DarkVictorian (1%) 
- 
+ ComicDiffusion V2 (1%) 
- 
+ DiscoDiffusion (1%) 
- 
+ Dvmjv4 (1%) 
- 
+ Halloween (1%) 
- 
+ Lichtspiel (1%) 
- 
+ Lnkdn (1%) 
- 
+ Midjrny-v4 (1%) 
- 
+ Mtg-style (1%) 
- 
+ NekoMix (1%) 
- 
+ Nekrofaerie (1%) 
- 
+ SDHeroCalm (1%) 
- 
+ SpiderVerse (1%) 
- 
+ Ssmoky (1%) 
- 
+ SynthwaveV2 (1%) 
- 
+ TDST (1%) 
- 
+ VanGogh (1%) 
- 
+ Vectorartz (1%) 
- 
+ Voxelish (1%) 
- 
+ Wa-vy (1%) 
- 
+ Woolitize768 (1%) 
Exp1-Tier3 (add diff):
- 
GreyModel12.0.0 + Babetopia (20%) 
- 
+ Instababe (20%) 
- 
+ PovSkinDream (15%) 
- 
+ PowerfulMix20 (15%) 
- 
+ GTMult v1? (15%) 
- 
+ LatexRaw (10%) 
- 
+ ClassicNegative (10%) 
- 
+ Furrystaber (5%) 
Exp1-Tier4 (add diff):
- 
GreyModel12.0.0 + RealismMix (20%) 
- 
+ Hassan1.4 (15%) 
- 
+ AttractiveMix (10%) 
- 
+ VoluptuousMix (10%) 
- 
+ SamDoesBimboes (1%) 
The Tiers separately are UNUSABLE because of all the AddDiffs, but merging them together brings them back to usable territory.
Probably merged these with Weighted sum as
( (Tier1 + Tier2Part1)*0.5 + (Tier2-Part2 + Tier3)*0.5 ) + Tier4 * ?
Then merged it with a custom DB model (trained on a face, but it also learned a bit of analog photo style) to tone it down a bit
= Exp1Final
Exp2 (using weighted sum):
- 
ArtEros + RealVision1.2 (50%) 
- 
Grey12.0.2 + ProjectPhoto BETA (50%) 
- 
SexyRealism + TheGirlNextDoor (50%) 
- 
Deliberate1.1 + AnythingFurry (25%) 
- 
Visigen + Futagen (25%) 
- 
ArtRealV + GreyProjectPB (50%) 
- 
DelibAnyFur + VisiFuta (50%) 
- 
DelibAnyVisiFuta + SexyRGirlND (35%) 
- 
ArtRealGreyPro + DelibAnyVisiFutaSexyRGirlND (35%) 
- 
+ Emotional Puppeteer (1%) 
= Exp2Final
Exp1Final + Exp2Final weighted sum 50%?
= Exp3
Moving it back a bit towards photorealism:
Exp3+ (not sure about the weights from here on, but used weighted sum)
- 
(Analog + SimpMaker3k1 + DoubleExp + Attractive + Licthspiel) 
- 
+ (SexyRealism + TheGirlNextDoor) 
- 
+ (RealVision1.2 + ProjectPhotoBeta) 
- 
+ (Dreamlike PhotoV2 + Deliberate1.1) 
= WyvernMix V1
描述:
Some of the included models:
Grey, DreamlikePhoto2, Woop, ProtoInf, ArtEros, HSPU, URPM, Hassan15, OpenJourneyV2, 3DKX1.1, f222, analog, nitro, artstation, technicolor, inkpunk, seek, lichtspiel, lnkdn, dndclasses, wavy, wool, classicNegative, realismMix, deliberate, Visigen, RealisticVision1.2, AnyFurry, Futagen, etc.
训练词语:
名称: wyvernmix15XL_v1.safetensors
大小 (KB): 4001869
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                

 
                 
                 
                 
                 
                