Instructions to use baidu/ERNIE-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baidu/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("baidu/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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 187c8f6cc6fd217e11ecc3dfbc82048b314c6d4608b6b6eb42769e12728cd987
- Size of remote file:
- 17.1 MB
- SHA256:
- 577575622324b2e099e2648be26bdeb5e5815ffe66d7004e9e3ddbf421db6bf1
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