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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 73c23924c287f299c59e473440897a5fdda327f1d484e50a7c2a03e05904ad79
- Size of remote file:
- 3.44 GB
- SHA256:
- d79e87257e12ff983100e35e208010eaa61253c0a84ae4cbc01033d77c37d9d5
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