Instructions to use MaverickAlex/R-FLAV-B-1-LS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaverickAlex/R-FLAV-B-1-LS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MaverickAlex/R-FLAV-B-1-LS", 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:
- 03afaabfea4e798893862b4ed14e9467be79d9d6a0a590fdbaf1b6503ea979b2
- Size of remote file:
- 54.8 MB
- SHA256:
- d71bb8ec87c21902175cb0f918e739789ec085663ed0f8ebd2f20adba4d5b5af
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