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This is the model you reach for when you want super clean, photo-realistic results.
It’s sharp, powerful, and somehow just nails gorgeous images every single time.

⚙️ Recommended Settings

Sampling method: DPM++ 2M SDE Karras 
VAE: is already Baked In
Sampling steps: 30+ Steps
Resolution: 832x1216 / 896x1152
CFG: 3-5
Clip Skip: 1
Upscale: 1.5 upscale (0.3 - 0.35 denoise)
Upscalers: 4x_NickelbackFS_72000_G / 4x_foolhardy_Remacri / 4x_NMKD-Siax_200k

⚙️ Recommended Settings DMD2

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]