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:
- 46102efc55e25c12b9afcfdcf036e1c2ec9675fa70141ec430aef951fd9bd9e2
- Size of remote file:
- 2.13 GB
- SHA256:
- f1c902167c4823be6e2048260200f9938637812651133a995c790e6c38e305fb
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