Instructions to use kandinsky-community/kandinsky-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinsky-community/kandinsky-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinsky-community/kandinsky-3", 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 Settings
- Draw Things
- DiffusionBee
create a castle
#11 opened about 1 month ago
by
dimxatzi
Add LICENSE file
#10 opened 8 months ago
by
jewittje
Error while Using the Image2Image pipeline
#9 opened 8 months ago
by
aniket2025
Link model to paper
#8 opened over 1 year ago
by
nielsr
runs EXTREMELY SLOW
#7 opened about 2 years ago
by
froilo
How do I implement this?
#6 opened over 2 years ago
by
Torcello
Kandinsky 2.2 has better image generation quality than this one.
1
#5 opened over 2 years ago
by
MkJojo
added an image save in text2image demo
#3 opened over 2 years ago
by
macadeliccc
kandinsky-3 inpainting model
#2 opened over 2 years ago
by
Sanster
Is it the same version as on fusionbrain?
2
#1 opened over 2 years ago
by
kopyl