Instructions to use BryanBizzAI/brunoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BryanBizzAI/brunoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BryanBizzAI/brunoo", 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:
- a7d3a74e9e887103699c4b657b9e6543e0b46076ee1a08bfc05d943a03de4915
- Size of remote file:
- 3.44 GB
- SHA256:
- 2830ba01bf2bf8c03fc822a3cbc7e579ca04c1ea3c92b58167a0ac0fe329c77b
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