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
- Xet hash:
- 2a22fd3bf83d56eed4ee8a7ddbe220281cc9fc622b4e8a6d250c8ffdff11b443
- Size of remote file:
- 7.7 GB
- SHA256:
- c2188c5b3d759ac35e3770056153fdcb348276bd1d10f0443a60a2bdcbb6ff7b
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