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    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

    Description

    improvements in coherency, realism, eyes, skin details

    FAQ

    Comments (5)

    1302630Jun 16, 2023· 3 reactions
    CivitAI

    You're the legend, dude. Very nice.

    The_CookJul 12, 2023· 1 reaction
    CivitAI

    This is a great model for high res portraits. How did you get the model to generate so well at 1024?

    wier
    Author
    Jul 12, 2023· 2 reactions

    did a native finetune at 1280x1280, and some LoRAs at 960x960,1280x1280, 1536x1536, and then fiddled with various merges to keep it coherent, balance the weights, add other concepts from other models, etc.

    arrssenneJul 29, 2023· 2 reactions
    CivitAI

    my better result, are always with you

    xixxixAug 5, 2023· 1 reaction
    CivitAI

    Absolutely fantastic checkpoint. Unique style. You have done really good job with this.

    Checkpoint
    SD 1.5
    by wier

    Details

    Downloads
    3,486
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/15/2023
    Updated
    5/13/2026
    Deleted
    -

    Files

    wyvernmix15XL_v9.safetensors