Instructions to use FenomAI/ERNIE-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FenomAI/ERNIE-Image-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FenomAI/ERNIE-Image-Turbo", 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:
- 5a46d23641f503f5ef967ee210cb5adfc163f8100a8fbc71804cd1995f53c066
- Size of remote file:
- 7.66 GB
- SHA256:
- abd26e2f4b5a0cc3922d3523649706f1d398050a766dc284161724d9ee47f808
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.