Famegrid 2nd Gen (Z-Image / Qwen) - V1 Spicy

Famegrid 2nd Gen (Z-Image / Qwen)

LORA
Reprint


Updated:

FameGrid for Z-Image v1 & Qwen-Image

Fine-tuned on a meticulously curated dataset of modern social-media influencer photography (INSTAGRAM STYLE). This LoRA took months of curation, iteration, and an unreasonable amount of server burn to get natural skin, modern lighting, and clean composition to land consistently.

🆕 Z-Image v1 Release (Major Upgrade)

What’s Improved in v1

This isn’t a “small bump.” v1 is the version that finally tightens the screws:

  • Better compositions (less random framing, more intentional shots)

  • Sharper images (cleaner detail without the mush)

  • Fewer artifacts (less weird texture junk and visual noise)

Recommended LoRA Weight (Z-Image v1)

  • 0.7 – 0.9 is the sweet spot

    • 0.7 = more natural, less overcooked

    • 0.9 = more stylized strength, still clean

New Trigger Word: rlskn

Use this trigger along with the default one IGMODEL to unlock:

  • more realistic skin texture

  • natural imperfections

  • more “average-looking” believable subjects (less plastic model-face)

Perfect for authentic lifestyle content and grounded social media aesthetics.

Start prompts like: “iPhone photo of an IGMODEL woman with rlskn (detailed skin:1.3) …”

Additional Guidance

  • rlskn = realism, texture, believable skin

  • Lower CFG = more realism

  • Higher CFG = sharper, but can reduce naturalness

  • Match CFG and LoRA weight:

    • Low CFG → lower weights

    • High CFG → higher weights

  • This model loves long prompts — 800+ characters is ideal

  • If outputs aren’t realistic enough, increase LoRA strength slightly

Version Detail

Z-Image-Turbo

Project Permissions

Model reprinted from : https://civitai.com/models/2088956/famegrid-2nd-gen-z-image-qwen?modelVersionId=2604982

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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