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
T2V 250928 is quite an improvement.
#45
by Nottosan - opened
I tested to make a very good realistic videoes. It has better motion , composition and fix blurry when apply some loras. Thank for your work.
What settings are you using? Lora strength for High and Low, Steps, samplers, etc. I'm only getting good results some of the time.
I use default Kijai t2v wan wrapper template, lightning 250928 loras, sampler : euler ,scheduler: simple, cfg:1 .