Instructions to use tensorrt/stable-diffusion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorrt/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("tensorrt/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:
- 449e18d919fd423719ff3b68b7a5b8f568a8db044e5441b9dccc468136ef9085
- Size of remote file:
- 5.21 GB
- SHA256:
- 4711ff4dd270067f71d5ea0725e83e4dc7c41f586a588531ee1c3bd549e9119d
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