Instructions to use BryanW/43.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BryanW/43.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BryanW/43.1", 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
- Xet hash:
- 2480028170eff8a5c8c990c0b3efd338b046dd377e7ab07169aa3c17c3b7a994
- Size of remote file:
- 1.47 kB
- SHA256:
- af8a4d4c24e70d019842353e7bac2f378b98d27134b51d963f3a3a8c4a1d848a
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