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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/320d5bafdc1870a9507e783771ff2e21.jpg
text: '-'
- output:
url: images/558e0d116055b391ec785a67fb6d3106.jpg
text: '-'
- output:
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text: '-'
- output:
url: images/852ca4f68102c6ae103b277165a7f30d.jpg
text: '-'
- output:
url: images/3139f837f72fd1570e02cb3ce5de18b7.jpg
text: '-'
- output:
url: images/04851cd4b6337fa0490d0fb58afb40b8.jpg
text: '-'
- output:
url: images/58551d39d23b41476e5701717f003d3e.jpg
text: '-'
- output:
url: images/73925b8cf92a3e27652cccf74847797d.jpg
text: '-'
- output:
url: images/87910dd58daf1fe7fd77d66af57bce6a.jpg
text: '-'
- output:
url: images/12229486e92ec320a6741670948ea848.jpg
text: '-'
- output:
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text: '-'
- output:
url: images/ce06a16dceb35a8c762e27639d599806.jpg
text: '-'
base_model: F16/z-image-turbo-sda
instance_prompt: realform
license: creativeml-openrail-m
---
# RealForm_Atlas
<Gallery />
## Model description
RealForm Atlas is a neutral, realistic and highly stable LoRA designed for consistent performance across multiple categories: portraits, animals, interiors, landscapes, fashion, objects and atmospheric scenes. It is trained on a balanced, bias‑controlled dataset to ensure clean outputs, strong coherence and predictable behavior in every context.
⚠️ Compatibility This LoRA is optimized exclusively for Z‑Image Turbo. Not compatible with Z‑Image Base due to pipeline differences and bias handling.
Technical Characteristics
Neutral, modular behavior — does not impose style; follows the prompt with high fidelity.
High coherence — no drift, no artifacts, no unwanted stylization.
Advanced light handling:natural light (dawn, afternoon, filtered light)artificial warm/cold/mixed lightingatmospheric conditions (rain, haze, bokeh)
Material accuracy:natural skindetailed animal fursilk, leather, wood, metal, stonewet sand, water, autumn foliage
Depth and atmosphere:soft hazerealistic depthconsistent backgrounds
Versatility across subjects:human portraitswildlife and petsmodern interiorsautumn forests, beaches, rain scenesfashion and elegant environments
Training Dataset
Balanced dataset across 8 controlled categories:
portraits
half‑body subjects
animals
objects
interior environments
landscapes
clothing
lighting variations
Neutral palette → avoids unwanted color dominance. Controlled distribution → ensures stability and predictable results.
Recommended LoRA Weight
1.0 → full strength, maximum consistency
0.8 → softer integration, more prompt‑driven
Do not go below 0.8 — quality and stability decrease noticeably
Usage Guidelines
Use clear, direct prompts.
Always specify lighting (the LoRA responds extremely well to light control).
For portraits: include skin details, light direction, mood.
For animals: specify expression and posture.
For interiors: specify materials and lighting type.
For landscapes: specify season, atmosphere, depth.
Limitations
Not compatible with Z‑Image Base.
Not intended for cartoon/anime styles.
Requires precise prompting for best results.
Does not impose artistic style by itself.
Ideal For
professional creators
realistic showcases
photography‑style outputs
atmospheric scenes
interior design
wildlife and nature
fashion and premium portraits
## Trigger words
You should use `realform` to trigger the image generation.
## Download model
[Download](/jarod2212/RealForm_Atlas/tree/main) them in the Files & versions tab.
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