Instructions to use teragron/capybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teragron/capybara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("teragron/capybara", 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:
- 2cc8c95cf9d66447319299b40caf9b4349f0f8b6804ff2ae4d7493b23f9aead3
- Size of remote file:
- 492 MB
- SHA256:
- cc3750e860fb12836dfd8049449acb0bf774ddf4fbb11aa535869124ece4f150
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