Instructions to use keogh/stable-diffusion-compvis-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keogh/stable-diffusion-compvis-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("keogh/stable-diffusion-compvis-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
Testing the handler 919faf4
Isaac Zepeda commited on
Rename requirements file c2ee745
Isaac Zepeda commited on
Initial handler.py and requeriments.txt f05a05c
Isaac Zepeda commited on
Copy compvis stable diffusion v1-4 model into the project 0640203
Isaac Zepeda commited on