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:
- 76f3a20b916e1881acfb513758391ceec596afe3a5a9727361e5691a5a91a6cd
- Size of remote file:
- 4.03 kB
- SHA256:
- 53d2b4df81f147703981bbafb79f94c6f66c34a6c533f5c2404967262f02c6c8
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