Instructions to use krea/Krea-2-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krea/Krea-2-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "A small, dark-colored cat is captured mid-stride, walking down the center of a narrow, abandoned street. The street is paved and appears cracked and worn. On either side of the street are tall, dilapidated buildings with visible brickwork and windows. A street lamp stands on the right side. The entire image is rendered in a monochromatic blue, with a distinct halftone dot pattern overlaying the scene, giving it a retro or printed appearance. The focus is soft, and the lighting is diffused, creating a hazy, atmospheric effect. The perspective is from ground level, looking down the length of the street, which narrows into the distance., halftone texture" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
The pictures generated by Krea2 have no expressions.
#16 opened 8 days ago
by
wange1002
Most difficult challenge for devs
1
#13 opened 15 days ago
by
gemstonebro
Training LoRA for Krea 2 Turbo w/Training Adapter with AI-Toolkit
❤️ 3
4
#10 opened 17 days ago
by
natural-light
No Controlnet Available
#9 opened 18 days ago
by
abline11
Edit variant
👍 1
2
#8 opened 18 days ago
by
Osony1
bad image when rendering Chinese text
1
#7 opened 19 days ago
by
ydayda
give me a photo of the sea
#5 opened 22 days ago
by
yazidALA
System Prompt
🔥👍 12
#4 opened 24 days ago
by
rzgar
Prompts skills
4
#3 opened 24 days ago
by
Ian0707