How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jice2/CreaPrompt_Ultimate6", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

It is an SDXL 1.0 merged model oriented towards realism, but it is also capable of creating all styles of images.

It also integrates the lora Hyper-CFG-8-Steps for accelerated rendering times.

Recommended settings:

Sampler: Euler/uniform

Steps: 8 to 14

CFG: 2 to 3.5

Capture d'écran 2024-07-29 114453.png

Downloads last month
50
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support