Instructions to use EnD-Diffusers/vaporwave-aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/vaporwave-aesthetic 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/vaporwave-aesthetic", dtype=torch.bfloat16, device_map="cuda") prompt = "vapodusk1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add Space badge to model card
5188149 -
Add Space badge to model card (#1)
- Add Space badge to model card (5039d81b1598d0202f91e3a362521c9b6010ca91)dfc4cdf
-
Update README.md
6f0b669
-
Update README.md
fa9a1c8 -
Update README.md
d6d6e91 -
Update README.md
7f0fde9 -
Update README.md
4eab309 -
Delete concept_images
Making a new foldere7e59f4 -
Upload 4 files
Replacement concepts029469b -
Upload concept_images with huggingface_hub
e830cd6 -
Upload with huggingface_hub
a5b0cc3 -
Upload the model Duskfall's Vaporwave Aesthetic
d5cd47c -
initial commit
175d52c