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:
- 95ee51564adb8beb33b0fb5d5a49e132ade956008cbfc2e7cf794153837832ef
- Size of remote file:
- 16.5 kB
- SHA256:
- 38894b50cb1297824be38d7dca5d96176c0f77f8fdb9a7b9438b47c6e38e23ec
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