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

- Xet hash:
- 0b64a5f5aff108c120c23c672512fbb00c71bd4aecf1c7475fd3a4a8a47401a6
- Size of remote file:
- 2.91 MB
- SHA256:
- d821c90e6b5ac48e65d32ed8c134962216fdc13ae6f0957aa2efb6b965828fb3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.