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
- Xet hash:
- 8b7430da0e84d62776874fb9719784b201f4dcc7748ca3a4affc0e140e192dcd
- Size of remote file:
- 2.82 GB
- SHA256:
- 8c37b3dd8cbf4f01dbae62613fcff4e8ac499457665e2b5f6a03f9523b4f8c7c
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