Instructions to use LottePeisch/2dn-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LottePeisch/2dn-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LottePeisch/2dn-Diffusers", 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:
- 772360d451b30c1031c901be6ad6f1407e961f99e1b7a6e6c24f0083689e05a4
- Size of remote file:
- 1.74 MB
- SHA256:
- bec76bd7cd1e60ab350cb7a4cf5cfb149b5a60a08a117230c76f51076df0ad07
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