<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6807abb0-61bd-4d02-97f7-42c683c71533/original=true/6807abb0-61bd-4d02-97f7-42c683c71533.jpeg" />Join The Tinkerer on Whop. Membership gets you early releases, private tools and a bunch of extra stuff.👉 <a target="_blank" rel="ugc" href="https://whop.com/cyberdelia-ai-lab">Join on Whop</a> 💬 <a target="_blank" rel="ugc" href="https://discord.gg/88R2hdjb22">Join the community for support, free tools and early news on Discord</a><hr />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.<hr />⚙️ Recommended Settings<pre><code>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</code></pre>⚙️ Recommended Settings DMD2<pre><code>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!</code></pre><hr />💡 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.<hr />🧠 PromptingExample negative prompt:<pre><code>cartoon, illustration, anime, painting, CGI, 3D render, low quality, watermark, logo, label</code></pre>or use <a target="_blank" rel="ugc" href="https://civarchive.com/models/1531979/cyberrealistic-negative-sdxl">CyberRealistic Negative</a><hr />✨ Optional Adetailer<pre><code>Adetailer model: face_yolov9c.pt
If you only want the main face being refined set 'Mask only the top k largest' to 1.</code></pre><hr />🔗 Links Backup location: <a target="_blank" rel="ugc" href="https://huggingface.co/cyberdelia/CyberRealisticXL">HuggingFace</a> <hr />☕ Fuel the Project If this model gave you stellar results, <a target="_blank" rel="ugc" href="https://ko-fi.com/cyberdelia">consider buying me a coffee</a>. Or two. Or, you know… a GPU.<hr />⚠️ 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).<hr />💬 Want Better Prompts? Use this custom ChatGPT to auto-generate polished prompts for CyberRealistic XL: 🔗 [<a target="_blank" rel="ugc" href="https://chatgpt.com/g/g-6834133e3ab881918a91b3ec6b9eb01f-cyberrealistic-prompt-helper">Try it now on ChatGPT</a>]

CyberRealistic XL

Rebuild version incorporating some of the training used in other of my models.

cyberrealisticXL_v20.safetensors

v2.0

v10.0

v9.0

v8.0-Inpainting

v8.0

v7.0 DMD2

v7.0

v6.0

v5.8

v5.7

v5.6

v5.3-Inpainting

v5.3

v3.1

v3.0

v2.2

v2.1

v1.1 (VAE)

v1.0 Play (VAE)

It took a while, but here is the SDXL version of CyberRealistic. The criteria for this model are simplicity in usage and versatility. So, no complicated prompts (you can if you want it); simply unleash your imagination. Enjoy and have fun playing!Rest assured, both CyberRealistic and CyberRealistic Classic (based on 1.5) will continue to receive updates and support as per usual.

It took a while, but here is the SDXL version of CyberRealistic.
The criteria for this model are simplicity in usage and versatility. So, no complicated prompts (you can if you want it); simply unleash your imagination. Enjoy and have fun playing!

Rest assured, both CyberRealistic and CyberRealistic Classic (based on 1.5) will continue to receive updates and support as per usual.

Files with SHA256: 63fdb4849cb41a19b3dca595f48cdb107c71cc8b98d756200b133826191f14fa