Instructions to use Heouzen/LoKR_VV2_sks_rikel_v2_fil_wan22_T2V_A14B_LOW_HIGH_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heouzen/LoKR_VV2_sks_rikel_v2_fil_wan22_T2V_A14B_LOW_HIGH_ 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_VV2_sks_rikel_v2_fil_wan22_T2V_A14B_LOW_HIGH_") prompt = "sks_rikel is captured in a close-up shot inside a car, showcasing her long, straight dark brown hair that falls over her shoulders from a central part. Her youthful face features warm brown eyes and a faint pink blush on her cheeks, while her lips are set in a soft pout. She leans her head against her right hand in a relaxed pose, looking directly forward. sks_rikel wears a white ribbed crew-neck t-shirt, partially obscured by a grey seatbelt strap that runs across her torso. The interior of the vehicle, with its black leather headrest and soft natural lighting from the window, creates a clean backdrop that highlights her natural features and calm demeanor." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!