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
- Xet hash:
- ef38808922bff2b361543bcca9555228e0f6d1cf220e930e1c7544d51c89bf0a
- Size of remote file:
- 3.46 GB
- SHA256:
- 6dfae3e5f7d459b50f4b0850ead945972c75bb0e1897628933e169eb43974214
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