Instructions to use misri/hassakuXLIllustrious_v30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/hassakuXLIllustrious_v30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/hassakuXLIllustrious_v30", 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:
- d57d50dc5fdc9ddc9a01ebc754438bdb9ca50c288c29c96e9c0831091655c966
- Size of remote file:
- 246 MB
- SHA256:
- a5321129cd00e9c9f7293bcf3ba2be0fe6126cd3e8efe26ac7b26ae9c8542f5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.