Instructions to use ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior", 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
Download assets/results.png from ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior/resolve/main/assets/results.png
- Command line
-
hf download hf://ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior/assets/results.png
-
curl -L -o results.png https://huggingface.co/ECLIPSE-Community/ECLIPSE_KandinskyV22_Prior/resolve/main/assets/results.png
287 kB
