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CyberRealistic Pony blends all the charm of Pony Diffusion with the striking realism of CyberRealistic. The vibe? You get everything from adorable to bold (sometimes both at once) with crazy-detailed textures, moody cinematic lighting, and a hint of AI flair.
🧠 How to Use It
Sampling method: DPM++ SDE Karras / DPM++ 2M Karras / Euler a
Sampling steps: 30+ Steps
Resolution: 896x1152 / 832x1216
CFG: 5
Clip Skip: 2✅ Recommended Prompts
score_9, score_8_up, score_7_up, (SUBJECT), Negative Prompt examples:
score_6, score_5, score_4, (worst quality:1.2), (low quality:1.2), (normal quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, extra limb, missing limbsit's also possible to remove the normal pony tags:
(SUBJECT), Negative Prompt examples:
(worst quality:1.2), (low quality:1.2), (normal quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, extra limb, missing limbs🛠 ADetailer Settings
Adetailer model: face_yolov9c.pt
If you only want the main face being refined set 'Mask only the top k largest' to 1.☕ Support
Enjoying the ride? [Buy me a coffee] – but only if the Pony delivered something you actually like.
⚠️ Disclaimer
This model might generate sensitive content. Whatever you make with it is on you. Don’t do anything weird and try to blame the horse.
🔗 Links
Backup location: huggingface
💡 Need Better Prompts?
This custom ChatGPT was made to whip up top-tier prompts just for this model:
🔗 [Try it now on ChatGPT]
Description
Join The Tinkerer on Whop to download this model and many more — all for one monthly payment. Plus, get early releases, private tools and a lot more.
👉 Join on Whop
New direction, new behavior. Enhanced detail, cleaner, improved prompt response, and more stable results across a wide range of generations.
All examples are 100% LoRA-free and generated with Forge Neo.
If your results aren’t quite what you expected, take a quick step back and check a few things first:
– Did I stack a bunch of LoRAs?
– Am I using a lot of Textual Inversions?
– Is my prompt actually structured well?
In most cases, it’s not the checkpoint causing the issue 🙂
FAQ
Comments (7)
How do you use the negative embeddings for this?
Just place them in your negative prompt - that’s all there is to it.
That said, you don’t really need to use them.
If you’re curious, try a quick comparison:
– one generation with them
– one without
Then ask yourself: does it actually improve the result in a meaningful way? If not, you can safely skip them 👍
Looking forward to checking out v18.0 CoreShift when I have the time ^^ I assume it's it bit of a more radical departure? What are the differences?
Hope you're keeping well also <3
nice
What is a coreshift?
Coreshift = same model, different soul :)
Dunno, but it seems as permafixed ponyface at least. Will know more when its available for testing, maybe prompt follow is better and such.