Instructions to use GraydientPlatformAPI/jibreal7-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/jibreal7-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/jibreal7-xl", 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:
- 3e418f8880c60ef0266fef16a8c8377777ad9ffae6d19b34b6f430c6321b6b3d
- Size of remote file:
- 246 MB
- SHA256:
- a76a13f0f57ccefe7bdcb2e10be34f5769dacee7bffb5713b4ffcd89c65c523d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.