CivArchive
    Jennette Mccurdy - Realism Illustrious - v1.0
    Preview 66707335
    Preview 66707319
    Preview 66707321
    Preview 66707333
    Preview 66707320
    Preview 66707324
    Preview 66707326
    Preview 66707322
    Preview 66707330
    Preview 66707325
    Preview 66707332
    Preview 66707331
    Preview 66707323
    Preview 66707338
    Preview 66707327
    Preview 66707316
    Preview 66707328
    Preview 66707337
    Preview 66707334

    Built using Realism Illustrious Stable Yogi 3.5 using 239 images, 5 repeats, batch of 1 at about 4780 steps, then a second run with the same images batch and repeats with a batch of 2 for 4780 more steps.

    All sample images I'm posting at almost exclusively straight from txt2img with an application of Adetailer. Here are my recommended settings and tools I used in Forge.

    Realism_Illustrious_By_Stable_Yogi 3.5

    Realism_Illustrious_Positive_Embedding + Realism_Illustrious_Negative_Embedding

    Realism_Lora_By_Stable_Yogi

    Detail_Tweaker_Illustrious_By_Stable_Yogi (Pro version from his Patreon)

    Euler A + Karras

    26 Steps

    CFG Scale 6

    Width 1224 Height 856

    Adetailer mediapipe_face_full - Inpaint mask blur 8

    All of my prompts began with this or some descriptive variation

    Positive

    Stable_Yogis_Illustrious_Positives, realistic, photorealistic, realistic skin texture, detailed, indoors, dusk, light rays, indoors,

    Negative

    Stable_Yogis_Illustrious_Negatives-neg

    text, 3d,2d, phone, rating:explicit

    Description

    Built using Realism Illustrious Stable Yogi 3.5 using 239 images, 5 repeats, batch of 1 at about 4780 steps, then a second run with the same images batch and repeats with a batch of 2 for 4780 more steps.

    LORA
    Illustrious

    Details

    Downloads
    69
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    9/30/2025
    Updated
    10/1/2025
    Deleted
    9/30/2025
    Trigger Words:
    JennMcc

    Files

    Jennette Mccurdy_Illustrious_V2.safetensors