Instructions to use dn6/RosettaFold-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dn6/RosettaFold-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dn6/RosettaFold-3", 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
| { | |
| "_blocks_class_name": "RF3AutoBlocks", | |
| "_class_name": "ModularPipeline", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "transformer": [ | |
| null, | |
| null, | |
| { | |
| "pretrained_model_name_or_path": "dn6/RosettaFold-3", | |
| "subfolder": "transformer", | |
| "type_hint": [ | |
| "diffusers", | |
| "AutoModel" | |
| ], | |
| "revision": null, | |
| "variant": null | |
| } | |
| ], | |
| "scheduler": [ | |
| null, | |
| null, | |
| { | |
| "pretrained_model_name_or_path": "dn6/RosettaFold-3", | |
| "subfolder": "scheduler", | |
| "type_hint": [ | |
| "diffusers", | |
| "AutoModel" | |
| ], | |
| "revision": null, | |
| "variant": null, | |
| "default_creation_method": "from_config" | |
| } | |
| ] | |
| } | |