Instructions to use Heouzen/LoKr_WAN22_T2V_A14B_sks_thea_r64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heouzen/LoKr_WAN22_T2V_A14B_sks_thea_r64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Heouzen/LoKr_WAN22_T2V_A14B_sks_thea_r64") prompt = "sks_thea, The image shows a person with hijab, wearing a maroon sweater. The person is resting their head on their hand, with their eyes looking directly at the camera. The background includes a white wall with a small air conditioning unit mounted above it. There is also a wooden door visible to the left, and a small plant with red flowers on a shelf or table in the upper right corner. The lighting suggests it is daytime, with natural light illuminating the scene. --num_frames 1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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