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:
- 17030c1b8680512ad11069c5735ffb08890784230b89b68b0fa5676b3161d029
- Size of remote file:
- 246 MB
- SHA256:
- cf8c9005232be62f2116cb419cd334ccc6b7f472b9a6cdb4d605b697772327cc
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