Instructions to use LanguageMachines/stable-diffusion-2-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageMachines/stable-diffusion-2-1-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LanguageMachines/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download requirements.txt from LanguageMachines/stable-diffusion-2-1-base: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/LanguageMachines/stable-diffusion-2-1-base/resolve/main/requirements.txt
- Command line
-
hf download hf://LanguageMachines/stable-diffusion-2-1-base/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/LanguageMachines/stable-diffusion-2-1-base/resolve/main/requirements.txt
67 Bytes
| accelerate | |
| torch | |
| transformers | |
| diffusers | |
| scipy | |
| safetensors | |
| xformers | |