Text-to-Video
Diffusers
Safetensors
English
text-to-video;
image-to-video;
comfyUI;
video-generation;
Instructions to use karina43454545/Wan2.2-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karina43454545/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("karina43454545/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-Lightning / Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1 /Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1-forKJ.mp4
- Xet hash:
- ef301bb5b0f49caadbfb80ac39cd4220dbef910366fc95c8d72d71bffe013062
- Size of remote file:
- 2.02 MB
- SHA256:
- 655a6001c4265e4cfa86338aa21060584218140a0d6aa7bec15a3e022fc67884
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