Instructions to use tedlasai/learn2refocus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tedlasai/learn2refocus 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("tedlasai/learn2refocus", 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
Download checkpoint-200000/optimizer.bin from tedlasai/learn2refocus: direct link, hf CLI and curl.
- Browser
- Download file 3.18 GB
-
https://huggingface.co/tedlasai/learn2refocus/resolve/refs%2Fpr%2F1/checkpoint-200000/optimizer.bin
- Command line
-
hf download hf://tedlasai/learn2refocus@refs/pr/1/checkpoint-200000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tedlasai/learn2refocus/resolve/refs%2Fpr%2F1/checkpoint-200000/optimizer.bin
3.18 GB
- Xet hash:
- e687f76189873ce5cd3f4299cc1b20acc3a7b2bf19bdbafa555270df5314c61d
- Size of remote file:
- 3.18 GB
- SHA256:
- f863e02eafe9afa635334533ba193de1f4d0eec8e0e75c9a3648bc956ff6f743
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