Instructions to use Sebbecking/albaert3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sebbecking/albaert3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sebbecking/albaert3", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a539d0aec172457aa723342aefbbccf86f4aa38e65e6f10b801597aaf1a078c
- Size of remote file:
- 9.65 GB
- SHA256:
- 0cd3bd392b7a7287d0e97339af0e649fe925e2068f3985ad7ef4e3189e9ab546
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