metadata
license: creativeml-openrail-m
library_name: diffusers
tags:
- Safetensors
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
pipeline_tag: text-to-image
CyberRealistic
v4.2
Description:
Several features developed for CyberRealistic Classic 3.1 have been incorporated into this version along with some additional enhancements. Furthermore, the foundation of CyberRealistic has been slightly adjusted.
Most sample images use a test negative TI (which still is in development), which can be downloaded from Huggingface.
More explicit than earlier editions. Disregard this version if it's not what you're looking for.
Creator: Cyberdelia
Civitai Page: https://civitai.com/models/15003
You can use this with the 🧨Diffusers library
Diffusers
from diffusers import StableDiffusionPipeline
import torch
model_id = "sam749/CyberRealistic-v4-2"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "masterpiece, best quality, 1girl, (colorful),(delicate eyes and face), volumatic light, ray tracing, bust shot ,extremely detailed CG unity 8k wallpaper,solo,smile"
image = pipe(prompt).images[0]
image.save("result.png")