Instructions to use diff-mining/cardb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diff-mining/cardb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diff-mining/cardb", 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 the model can be viewed from https://huggingface.co/papers/2408.02752 (feel free to claim the paper in case you're an author so that it appears at your HF profile).
Cheers,
Niels