Instructions to use joyfox/Wan2.2-T2V-EVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joyfox/Wan2.2-T2V-EVA 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/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joyfox/Wan2.2-T2V-EVA") prompt = "mrx, 一个女人穿着红色战斗服坐在桌子前吃饭" 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:
- ca809880bb85e6e2de8c28a7464d518293566802440b2b3cfe433844bcc6f931
- Size of remote file:
- 697 kB
- SHA256:
- ac64551b6d2ab73e60a5b6e5cf7a218e113e9142b0ddfde3802daa230e3dc7f8
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