Instructions to use opendiffusionai/stablediffusion_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use opendiffusionai/stablediffusion_t5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("opendiffusionai/stablediffusion_t5", 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:
- 0d92c0b67703fb6180e57ffe4f776f98ac354352aea54e503cedcf7601724aa7
- Size of remote file:
- 507 kB
- SHA256:
- 7972c6ab1dec3e1cdb0f584dcad1ffdde6e7c45d2a9e095057eb7ac2a816124e
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