Instructions to use HusseinHE/icbinh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HusseinHE/icbinh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HusseinHE/icbinh", 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
- Draw Things
- DiffusionBee
- Xet hash:
- e4e3ea7e064669deb80ae6d856c5fd81ee8b9101d0b60dd0ff8d4890538cae1a
- Size of remote file:
- 3.44 GB
- SHA256:
- d095167aa120ba614c7c3743783ec5bedc96b3a306535b7d6f0218384c4fa71b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.