Instructions to use Lugbert/CyberRealisticXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lugbert/CyberRealisticXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lugbert/CyberRealisticXL", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
dedab9a
0
Parent(s):
Duplicate from cyberdelia/CyberRealisticXL
Browse filesCo-authored-by: CyberDelia <cyberdelia@users.noreply.huggingface.co>
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---
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license: creativeml-openrail-m
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tags:
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- stable-diffusion-xl
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- sd-xl
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- text-to-image
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- photorealistic
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- cyberrealistic
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- image-generation
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- diffusers
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model-index:
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- name: CyberRealistic XL
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results: []
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---
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# CyberRealistic XL
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**CyberRealistic XL** is a photorealistic image generation model based on **Stable Diffusion XL 1.0 (SDXL)**. It is designed to produce highly realistic, cinematic-quality outputs with minimal prompt engineering. This checkpoint is optimized for portraits, fashion, and editorial-style scenes, but also handles a wide range of creative prompts with remarkable fidelity.
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---
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## 🧠 Model Details
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- **Model Type**: Image generation (Text-to-Image)
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- **Base Model**: Stable Diffusion XL 1.0
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- **Format**: `safetensors`
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- **Latest Version**: v5.7
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- **Creator**: [Cyberdelia](https://civitai.com/user/Cyberdelia)
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- **File Size**: ~6.31 GB
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- **License**: [CreativeML Open RAIL++-M License](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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---
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## ✨ Features
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- ⚡ **Ultra-Photorealism** – Exceptional detail in faces, lighting, and textures.
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- 🧩 **Effortless Prompting** – Works well with short prompts, but supports complex ones too.
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- 🪞 **Skin & Eye Fidelity** – Improved clarity in eyes, skin detail, and facial structure.
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- 🔧 **Built-in VAE** – No need for an external VAE; optimized out of the box.
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---
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## 🛠️ Recommended Settings
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| Parameter | Recommended Value |
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|----------------|-------------------|
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| Sampling Steps | 25–30 |
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| Sampler | DPM++ 3M SDE Karras, Euler A |
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| Resolution | 1024x1024 (native), 1536x1536 with Hires.fix |
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| Hires Upscaler | 4x_NMKD-Siax_200k or 4x_NickelbackFS_72000_G |
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| CFG Scale | 7.0–8.0 |
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---
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## 🧾 Example Prompts
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> (masterpiece, best quality), ultra-detailed, realistic photo of a 22-year-old woman, natural lighting, depth of field, candid moment, color graded, RAW photo, soft cinematic bokeh
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> (masterpiece, photorealistic), editorial fashion photo, close-up, dramatic side lighting, textured skin, shallow depth of field, soft shadows
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---
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## 📸 Example Outputs
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