Instructions to use sd2-community/stable-diffusion-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd2-community/stable-diffusion-2-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("sd2-community/stable-diffusion-2-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
- Xet hash:
- 623a417d1d0aba98d7bbde6bb01a7a03176b2a9d293f3a31156d7714b0129751
- Size of remote file:
- 3.46 GB
- SHA256:
- c60b3631cc85148ca0cc524daff7767efb707fd26c40d46cc3cd217dc5252cd0
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