Instructions to use linyq/kiwi-edit-5b-reference-only-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linyq/kiwi-edit-5b-reference-only-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("linyq/kiwi-edit-5b-reference-only-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Add model card for Kiwi-Edit
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the community science team at Hugging Face.
I noticed this repository is missing a model card. I've opened this PR to add a README that includes:
- Metadata for better discoverability (library name and pipeline tag).
- Links to the research paper, project page, and GitHub repository.
- Sample usage instructions for running inference via the official CLI script.
- The official citation.
This will help users understand and use the model more effectively!
linyq changed pull request status to merged