Instructions to use sweetpablo/diffuwusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sweetpablo/diffuwusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sweetpablo/diffuwusion", 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
fd395d0 -
Upload model_index.json with huggingface_hub
ecc883f -
Upload folder using huggingface_hub
2fa7256 -
Upload folder using huggingface_hub
2638a04 -
Upload folder using huggingface_hub
ed9f516 -
Upload folder using huggingface_hub
8e7fbd4 -
Upload folder using huggingface_hub
a001e52 -
Upload folder using huggingface_hub
ecadbe6 -
Upload folder using huggingface_hub
1761809 -
Upload the concept DiffUwUsion embeds and token
2662547 -
initial commit
8b3beeb