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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 341e171584f5be97e30b194889ef4fdcdf1187c9f2d76fcaa636b4c93a84ee25
- Size of remote file:
- 3.46 GB
- SHA256:
- 1238522277c48923ff2751e238f2742c562e45643f3d50cc93d163cb30638b0c
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