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v1.0
MFCG Pseudo Mix

MFCG Pseudo Mix

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#sensual
#fêmea
#Modelo Base
#Onde, cara?
#Realismo
#2.5D

This merge is my first attempt at a more realistic, 2.5d model.

The quality of your generations may be heavily improved by using textual embeddings in your prompt. The embeddings I use are listed below.

The style and sampler I used for preview images is listed below:

Sampler - DPM++ 2M Karras

Positive - (masterpiece, best quality, 4k, detailed, intricate, realistic),{prompt}

Negative - (worst quality, low quality:1.4),( --your embeddings here--),{prompt}

Images generated using Berry's Mix VAE and 4X AnimeSharp Upscaler at Clip Skip 2

My typical settings for images:

  • Sampling Steps - 35 to 40

  • HiRex Fix - Upscaled by 2 at 15 to 20 steps, 0.35 Denoising Strength

  • Dimensions - 512x512, 512x768, or 768x512

  • CFG Scale - 5.5 to 7

  • One pass of ADetailer HIGHLY RECOMMENDED

    1. FacesV1

    • I typically specify eye color/expressions/facial features here (blue eyes, grin, smug, mole, freckles etc).

    • This specific ADetailer model is made to detect different types of faces, so you may need to crank the detection confidence up or it'll start finding faces in clouds, trees, or whatever.

See images for examples of how I prompt. I'm not yet completely familiar with more realistic models, so you may be able to modify the prompting to get better results.

The negative embeddings I use are some combination of the following:

Merging weights and process are available in the 'About this version' section per version.

All credit goes to the original model authors, please check them out.

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Anúncio
2024-01-26
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2024-01-26
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Detalhes do modelo
Tipo
Checkpoint
Tempo de Publicação
2024-01-26
Modelo básico
SD 1.5
Introdução à Versão

Merging 'recipe' for initial version:

  1. Photon + MFCG Doll Mix v2 at 0.73 weight

  2. MFCG Gloss Mix + previous result with MBW weights: (0,0,0,0,0.05,0.07,0.1,0.125,0.2,0.25,0.3,0.35,0.42,0.5,0.55,0.6,0.7,0.75,0.8,0.84,0.88,0.9,0.95,0.95,0.95,1)

  3. MyMIX-G/Jem v T2_2 + previous with MBW weights: (0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0.55,0,0,0.2,0.2,0.2)

  4. Blend in more_details with previous at weight 0.3

Escopo da licença
Fonte: civitai

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