Instructions to use EnD-Diffusers/wave-concepts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/wave-concepts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/wave-concepts", dtype=torch.bfloat16, device_map="cuda") prompt = "wvebg1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 852f5fa1effe334d598fa411575ae9ade0394d05b2a7a038722ce94310700654
- Size of remote file:
- 492 MB
- SHA256:
- b0207006c09ef67ba86222ae772d6d1db73ae35078badd1a4cbb210b2ec580b5
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