Instructions to use LanguageMachines/stable-diffusion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageMachines/stable-diffusion-2-1 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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 6e2580efe6a6a157c8734b6b8ef4b880896ca443b04c68d03d6ea9b151db6a9e
- Size of remote file:
- 5.21 GB
- SHA256:
- ad2a33c361c1f593c4a1fb32ea81afce2b5bb7d1983c6b94793a26a3b54b08a0
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