Instructions to use dmseong/background with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dmseong/background with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dmseong/background", 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:
- 305de511a2c9f91a08e396ffc2da93552eb9d8d3943ec38e2d7c537fe32072c7
- Size of remote file:
- 15.9 MB
- SHA256:
- 92254b797f7c9ade27275ea04ecfac1bf90f960a8007de88717cb856ef12329d
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