CyberRealistic Classic
CyberRealistic Classic is a photorealistic image generation model built upon the Stable Diffusion 1.5 (SD 1.5) architecture. Developed by Cyberdelia, this model aims to produce lifelike portraits and scenes with minimal prompt engineering, offering a classic approach to photorealistic image generation.
🧠 Model Details
- Model Type: Text-to-Image Generation
- Base Model: Stable Diffusion 1.5 (SD 1.5)
- Format:
safetensors - Version: Classic
- Creator: Cyberdelia
- License: CreativeML Open RAIL++-M License
✨ Features
- Photorealism: Generates detailed and realistic images, particularly effective for human subjects.
- Ease of Use: Designed for simplicity; achieves impressive results with straightforward prompts.
- Integrated VAE: Comes with a baked-in Variational Autoencoder for enhanced image quality.
- Versatility: Suitable for various applications, including portraits, fashion, and cinematic scenes.
🛠️ Recommended Settings
| Parameter | Recommended Value |
|---|---|
| Sampling Steps | 25–30 |
| Sampler | DPM++ 2M Karras / Euler A |
| Resolution | 512x512 (native), higher with Hires.fix |
| Hires Upscaler | 4x_NMKD-Siax_200k or 4x_NickelbackFS_72000_G |
| CFG Scale | 7.0–8.0 |
| VAE | Already baked-in |
🧾 Example Prompts
(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
(masterpiece, photorealistic), editorial fashion photo, close-up, dramatic side lighting, textured skin, shallow depth of field, soft shadows
🔗 Links
🚫 Limitations
- May produce content that could be considered sensitive; use responsibly.
- Some prompts involving abstract or anime content may not perform as well due to realism-focused training.
- Lighting and skin may occasionally be too clean or smooth depending on sampling choices.
✅ License
This model is distributed under the CreativeML Open RAIL++-M License, which allows commercial and non-commercial use, with proper credit and no malicious usage.