Text-to-Image
Diffusers
Safetensors
English
ErnieImagePipeline
art
stable-diffusion
ernie
turbo
nf4
asset-editor
Instructions to use Veetance/ERNIE-Turbo-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Veetance/ERNIE-Turbo-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("Veetance/ERNIE-Turbo-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
- Draw Things
- DiffusionBee
- Xet hash:
- 5090b8a7695857423e0261dbcd06d1d1ea3305be2e26049440df857297e4890d
- Size of remote file:
- 18.3 MB
- SHA256:
- 7c0c13f5db81a6494bfc698e32a7cec86a57ecab3c5449e33f8f887ab10da334
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