Instructions to use Quacky369/CyberRealisticPony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quacky369/CyberRealisticPony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Quacky369/CyberRealisticPony", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- stable-diffusion
- sdxl
- text-to-image
- photorealistic
- cyberrealistic
- pony
- image-generation
- diffusers
model-index:
- name: CyberRealistic Pony
results: []
CyberRealistic Pony
CyberRealistic Pony is the awesome Pony Diffusion with some CyberRealistic elements.
โจ Features
- Photorealism: Generates highly detailed and realistic pony images, capturing intricate textures and lighting.
- Ease of Use: Achieves impressive results with straightforward prompts.
- Integrated VAE: Comes with a baked-in Variational Autoencoder for enhanced image quality.
- Versatility: Suitable for various applications, including character design, illustrations, and concept art.
๐ ๏ธ Recommended Settings
| Parameter | Recommended Value |
|---|---|
| Sampling Steps | 30+ |
| Sampler | DPM++ SDE Karras / DPM++ 2M Karras / Euler a |
| Resolution | 896x1152 / 832x1216 |
| CFG Scale | 5 |
| VAE | Already baked-in |
๐งพ Example Prompts
score_9, score_8_up, score_7_up, (SUBJECT),
๐ธ Example Outputs
๐ Links
๐ซ Limitations
- May produce content that could be considered sensitive; use responsibly.
- Some prompts involving abstract or non-pony content may not perform as well due to the model's specialized training.
- Lighting and textures may occasionally be too clean or smooth depending on sampling choices.
โ License
This model is distributed under the CreativeML Open RAIL++-M License, which allows commercial and non-commercial use, with proper credit and no malicious usage.

