Instructions to use SYZhang0805/DisBack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SYZhang0805/DisBack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SYZhang0805/DisBack", 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
Link model to paper
#1
by nielsr HF Staff - opened
Hi,
Niels here from the open-source team at HF. This PR ensures people can discover the model from https://huggingface.co/papers/2408.15991.
Cheers,
Niels