Instructions to use Deepdive404/ERNIE-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deepdive404/ERNIE-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deepdive404/ERNIE-Image", 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
File size: 135 Bytes
6f81f71 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c2188c5b3d759ac35e3770056153fdcb348276bd1d10f0443a60a2bdcbb6ff7b
size 7698241104
|