Instructions to use fal/Bernini-R-Aux-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Bernini-R-Aux-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Bernini-R-Aux-FlashPack", 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
| { | |
| "epoch": 4, | |
| "source_repo": "ByteDance/Bernini-R-Diffusers", | |
| "source_revision": "de8c4621d3ac75cc33efe3db8deaed2023e9ac8c", | |
| "dtype": "keep", | |
| "components": [ | |
| "text_encoder", | |
| "vae" | |
| ], | |
| "components_only": true, | |
| "variant": null, | |
| "include_root": false, | |
| "ignore_names": [], | |
| "ignore_prefixes": [], | |
| "ignore_suffixes": [], | |
| "files": null, | |
| "pack_files": null, | |
| "pickle_key": null, | |
| "rename_prefixes": null, | |
| "include_names": null, | |
| "include_prefixes": null, | |
| "include_suffixes": null, | |
| "script_sha256": "0d39c755c7e9476e2879cf63682143c06753a24dc3810ce489f25b25e1ad0586", | |
| "n_packs": 2, | |
| "total_pack_bytes": 11869438887 | |
| } |