🟢 Every image in this gallery was made with the MAX REALISM KIT.
💎 MAX REALISM KIT | $49.99 · free updates
👉 https://monkeyforever.gumroad.com/l/max-realism-kit👈

💬 Discord (community, 3000+ members): discord.gg/69nQp4F9bq

WHAT’S IN THE KIT

• 🆕 MOSS-Image Max Realism workflow

• 🧩 Krea 2 txt2img + img2img workflows, pre-tuned

• ⚡ Z-Image-Turbo Max Realism workflows, running on a custom sampler built from scratch

• 📸 Realistic Snapshot LoRAs for all three models

• 🔬 Skin detailing pass that keeps pores intact in the final image

• 🎨 ChromaGrade: matches the exact colour grade of any reference

• 🧠 Multi-LoRA stacking: your character keeps their identity and still looks real

• 🏋️ Character LoRA training toolkit: 19-page playbook + one-click Caption Studio

• ✍️ Influencer Prompt Studio: turns a plain idea into a full realism prompt

• 📘 From Character to Income: a 33-page guide to growing and monetizing an AI influencer

Running an ai influencer account? the MAX REALISM KIT fixes this.
You need max realism to get more traffic.

🚀 NEW: MOSS-Image v1.0

Realistic Snapshot is now on MOSS-Image, trained on the same dataset as Krea 2 v1.0.

• Stronger realism with that real iPhone photo look

• Better anatomy: cleaner hands, bodies and proportions

• True snapshot feel: candid, unposed, everyday moments

• Recommended strength: 1.0

Prompt it exactly like Krea 2 v1.0 (see the guide below).

🔧 Krea 2 v1.0

A full retrain of the Krea 2 version, built for stability and control.

• Revamped training settings for much more stable results

• Higher-quality dataset with fewer outliers

• Precise captions, which give much better prompt adherence

• Handles higher strength. Up to 2.0 is recommended. 1.5 is the sweet spot. 1.0 does little, and 2.0 improves the overall style without breaking the image. Lower it if the effect is too strong.

The dataset is real-life smartphone photography: mirror selfies, bedrooms, bathrooms, car interiors, city streets at night, plus cars, landscapes and everyday scenes.

✍️ How to prompt (MOSS-Image v1.0 + Krea 2 v1.0)

Both were trained on detailed natural-language captions, so write prompts the same way. Describe the:

• Subject: build, hair, skin details (freckles, tan lines, tattoos, piercings, jewelry)

• Outfit and pose: what they’re wearing and doing

• Setting: where the photo is taken and what’s in the background

• Framing: mirror selfie, high-angle, low-angle, close-up, “framed from the upper thighs up”

• Lighting: direct sunlight, diffuse daylight, warm indoor lighting, flash

Example:
A slim young woman takes a mirror selfie in a bathroom, holding a smartphone in one hand. She has long brown hair and freckles across her nose, and wears a grey ribbed tank top with light-wash jeans. White tiled walls are behind her under warm indoor lighting, framed from the upper thighs up.

Old tag-style prompts and Z-Image workflows won’t carry over.

📜 Version History

MOSS-Image

• v1.0: First MOSS-Image release, trained on the Krea 2 v1.0 dataset. Strength 1.0.

Krea 2

• v1.0: Full retrain with stable settings, cleaner dataset and precise captions.

• v0.5 (Experimental): The first Krea 2 port. Trained on 600 modern iPhone photos with a larger spread, replacing the older early-2000s data.

Z-Image-Turbo

• v5.0 (Real Life): Largest Z-Image update, with 100+ new images. Fewer artifacts, better anatomy and better lighting physics.

• v3.5 Photorealism: Optical realism: subsurface scattering, specular highlights, chromatic aberration. Strong on mirror selfies.

• v3.0: Expanded dataset that balances the raw amateur vibe with high-fidelity detail.

• v2.0: Experimental “camera roll” aesthetic. Gritty, unpolished and sometimes temperamental.

• v1.0: The foundation, a lightweight base layer of realism and texture.

💡 Z-Image-Turbo tips

Use strength 0.60–0.70. Optional tags:

• Camera roll: amateur digital snapshot, candid, smartphone capture, high ISO noise, direct on-camera flash

• Detail: visible pores, visible vellus hair, subsurface scattering, detailed skin texture

• Optics: wide-angle lens, barrel distortion, chromatic aberration, depth of field