Instructions to use rootlocalghost/ERNIE-Image-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootlocalghost/ERNIE-Image-Turbo-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rootlocalghost/ERNIE-Image-Turbo-FP8", 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:
- 657491baa832f948bd7f5bc01cd9415a0d92c06939967c3aa714d06dd8322e87
- Size of remote file:
- 17.1 MB
- SHA256:
- 286acad9b0e27fce778ac429763536accf618ccb6ed72963b6f94685e531c5c7
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