Text-to-Video
Diffusers
Safetensors
English
text-to-video;
image-to-video;
comfyUI;
video-generation;
Instructions to use lightx2v/Wan2.2-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan2.2-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Wan2.2-Lightning", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
wan2.2 5B TI2V
#1
by Qanics - opened
Thanks for your work! Do you plan to support WAN 2.2 5B?
Yes, we have trained on Wan2.2 5B TI2V for a while but didn't get good results. We are trying to solve the problems
Yes, we have trained on Wan2.2 5B TI2V for a while but didn't get good results. We are trying to solve the problems
That’s exciting to hear! Looking forward to the improvements.
Any updates on the 5B lora?
Any updates on the 5B lora?