Instructions to use jarod2212/RealForm_Atlas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jarod2212/RealForm_Atlas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("F16/z-image-turbo-sda", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jarod2212/RealForm_Atlas") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
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| 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 | |
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| ## 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. | |