Instructions to use nerijs/coralchar-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nerijs/coralchar-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nerijs/coralchar-diffusion", 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:
- 79e621a7dd857a6337fb7ccd64a3171940c1cc2b3a08ea6562d5e51b05abebd2
- Size of remote file:
- 492 MB
- SHA256:
- b55bd71d5bbd81ef88e9f1ddbe9d79f69c7e709890ed2ced773abe115897b347
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.