Instructions to use Salesforce/FOFPred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Salesforce/FOFPred with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Salesforce/FOFPred", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download scheduler/scheduler_config.json from Salesforce/FOFPred: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/Salesforce/FOFPred/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://Salesforce/FOFPred/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/Salesforce/FOFPred/resolve/main/scheduler/scheduler_config.json
120 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.34.0", | |
| "num_train_timesteps": 1000 | |
| } | |