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 transformer/diffusion_pytorch_model.safetensors from Salesforce/FOFPred: direct link, hf CLI and curl.
- Browser
- Download file 7.93 GB
-
https://huggingface.co/Salesforce/FOFPred/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Salesforce/FOFPred/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Salesforce/FOFPred/resolve/main/transformer/diffusion_pytorch_model.safetensors
7.93 GB
- Xet hash:
- 88292e3acf7a60f7f50ee1fe536c22e6da01d22c049f8a38d088ed26b59b8d99
- Size of remote file:
- 7.93 GB
- SHA256:
- f9c8bdfde687bfbd69e5cafaf7481ab37c7564c4ab5d2260e6635c127d427fa0
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