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:
- 47ff7c603012c5c4d58f756eee3cc02efdea26d7730ae2dd643305805b772389
- Size of remote file:
- 492 MB
- SHA256:
- efb218bfb9bde240da2576b3a63f245fb317901684c0d9334cf879680940ae9f
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