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:
- 94ee7828dc23e2a491de976203e58be32c3157fcb32a7a05f52a0f1c5cd3ed17
- Size of remote file:
- 2.89 GB
- SHA256:
- 761339f3721f426860d685ee46e7fe4fb32233612f76adf9eb56e5518935fdb1
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