CyberRealistic XL

Join The Tinkerer on Whop. Membership gets you early releases, private tools and a bunch of extra stuff. 👉 💬 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 ✨ 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: ☕ Fuel the Project If this model gave you stellar results, . 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: 🔗 []