CyberRealistic XL

Sampler: LCM Schedule Type: Exponential Sampling Steps: 8/12 (12 for extra detail) CFG Scale: 1-1.5 ⚡ These settings are not the same as the standard SDXL workflow — be sure to adjust your pipeline!

💡 What’s the difference between FP16 and FP32 checkpoints?

FP16 (half precision) uses 16-bit floating-point weights. It’s smaller in size, loads faster, and uses less VRAM - perfect for normal image generation. You won’t notice any visual difference for inference, so it’s ideal for everyday use.

FP32 (full precision) uses 32-bit weights, which means it’s larger and heavier on resources. It doesn’t improve generation quality, but it’s better if you’re training, merging, or fine-tuning models , since it keeps the exact weight data without rounding loss.

🧠 Prompting

Example negative prompt:

cartoon, illustration, anime, painting, CGI, 3D render, low quality, watermark, logo, label

or use CyberRealistic Negative

✨ Optional Adetailer

Adetailer model: face_yolov9c.pt If you only want the main face being refined set 'Mask only the top k largest' to 1.

🔗 Links Backup location: HuggingFace

☕ Fuel the Project If this model gave you stellar results, consider buying me a coffee . Or two. Or, you know... a GPU.

⚠️ Heads-Up This model can make mature or sensitive content. You’re fully responsible for what you create, so use it responsibly (or if you can’t resist, at least be artistically irresponsible).

💬 Want Better Prompts? Use this custom ChatGPT to auto-generate polished prompts for CyberRealistic XL : 🔗 [ Try it now on ChatGPT ]

Source context: 21642 downloads · Type Checkpoint · Base model SDXL 1.0