Instructions to use DarqueDante/miniSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DarqueDante/miniSD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DarqueDante/miniSD", 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
- Xet hash:
- 3baa3a5a6af7dcef5309e1c0d6c5c9a284fa812d9a750d27d14fd2b5bc0e7829
- Size of remote file:
- 335 MB
- SHA256:
- dc15d3ed6817d5ae94042fa9a468e77e9fbad2a64f567247ee397769755a674d
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