Instructions to use Ezznju/ezzzzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ezznju/ezzzzz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ezznju/ezzzzz") prompt = "ezzz" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d0bee0659b6fce3e28a5a7ea46a45372c5625df925684d3fedfa8996d09aa83a
- Size of remote file:
- 172 MB
- SHA256:
- eed948e8861084728e939af37d050dfd02d84a67e38f2c7320a09178d25bc463
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.