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
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (ea413d7eb532a2b44f46477fcb291ba05ec96443)fed1434
-
Testing the handler
Isaac Zepeda919faf4 -
Rename requirements file
Isaac Zepedac2ee745 -
Initial handler.py and requeriments.txt
Isaac Zepedaf05a05c
-
Copy compvis stable diffusion v1-4 model into the project
Isaac Zepeda0640203 -
initial commit
bebece3