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
- Draw Things
- Xet hash:
- 5bb6ba394eae8dc1d27b41604a09b6d73a424aa0fa8e46988c72956b723130d6
- Size of remote file:
- 781 kB
- SHA256:
- 7d359858ab7156c918fa059677818c95c4d9cd80004250684c3e1f26f2d04697
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