Instructions to use Soul25r/chorando with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Soul25r/chorando 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("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Soul25r/chorando") prompt = "The video starts with a man, appearing with a sad expression. Then a tear rolls down his cheek, as he is cr471ng crying." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload example_videos/3.mp4 with huggingface_hub
Browse files- example_videos/3.mp4 +3 -0
example_videos/3.mp4
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version https://git-lfs.github.com/spec/v1
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size 780545
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