Instructions to use Wiit123/W2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wiit123/W2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SlartyG/wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Wiit123/W2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 7
Model tree for Wiit123/W2
Base model
Wan-AI/Wan2.2-I2V-A14B