Instructions to use Xopen/emily2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xopen/emily2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Xopen/emily2") prompt = "A cinematic close-up of Emily as a cyberpunk hacker, illuminated by neon blue holographic screens in a rainy futuristic Tokyo alley." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a9365375ce3e2484a6e073f9b6f75a4cd5d9f5b5c1f849c26f8bdaf24966d5f
- Size of remote file:
- 195 MB
- SHA256:
- 972e395e77a63e75fcd494aa4a29bbf1d7d7919e083f8e323a6aa725adfa69d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.