Instructions to use ovedrive/ERNIE-Image-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/ERNIE-Image-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/ERNIE-Image-nf4", 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:
- ba1f97b8d03f07ca0a7504af29f4a9ff8097f9b716940f9f2d9e8dce5ee04f32
- Size of remote file:
- 2.59 GB
- SHA256:
- 69be6d8cfa5625e91cc0bdebc49ce58e57a259aa2186a9ed94f756f33052eeb9
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