Instructions to use BryanW/43.1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BryanW/43.1m 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/43.1m", 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:
- af13684321c922a92c769d0063a8a4d7bb4675f15070f78e6b0a53119840fed5
- Size of remote file:
- 1.47 kB
- SHA256:
- 06bc219630c1c835d0fe39944888f70a3ac32e91248629bee7048bc34e949833
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