Instructions to use Deltadahl/backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deltadahl/backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deltadahl/backup", 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
Ctrl+K
- 100000-effieicency_Bodzas_20_1
- 100000-effieicency_Bodzas_20_2
- 20000-effieicency_Bodzas_50_1
- 20000-effieicency_Bodzas_50_2
- 20000-effieicency_Bodzas_50_3
- 20000-effieicency_Bodzas_50_4
- 20000-effieicency_Bodzas_50_5
- 25000-effieicency_Bodzas_10_1
- 25000-effieicency_Bodzas_10_2
- 25000-effieicency_Bodzas_10_3
- 25000-effieicency_Bodzas_10_4_try2
- 30000-effieicency_Bodzas_10_5
- 55000-effieicency_Bodzas_20_3
- 55000-effieicency_Bodzas_20_4
- 55000-effieicency_Bodzas_20_5