Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-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("CompVis/stable-diffusion-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
- Draw Things
- DiffusionBee
Add a pipeline option to digitally sign images
#60
by xalex - opened
Currently the pipeline watermarks images, so public sites can avoid creating fakes that cannot be recognized.
But the other direction is interesting as well: A public site could sign an image, such that the user can proof that it is a generated image and not a real photograph (drawing, etc.)
This would, of course, only be as secure as the public sites makes sure not to sign other files, but for many purposes it could be useful.