Instructions to use ksj47/sonu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ksj47/sonu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ksj47/sonu", 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
Commit History
-
Upload folder using huggingface_hub
d78586a -
Upload model_index.json with huggingface_hub
740ac39 -
Upload folder using huggingface_hub
072c660 -
Upload folder using huggingface_hub
4ccdce6 -
Upload folder using huggingface_hub
6b2bc1d -
Upload folder using huggingface_hub
61782aa -
Upload folder using huggingface_hub
3e6f08a -
Upload folder using huggingface_hub
0371442 -
Upload folder using huggingface_hub
c173b4a -
Upload the concept Sonu embeds and token
dc1e6f9 -
initial commit
9715ad1