Instructions to use Matelefy/hj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matelefy/hj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("redflagcitymayor/wan2.2-i2v-missionary-high-14b-lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Matelefy/hj") prompt = "A woman is performing a handjob on a penis, she moves her hand quickly up and down in a rhythmic motion." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7fd961f69c7e93e740d91d519961cb654aa036fadb7e40f1f53f691806c9b69b
- Size of remote file:
- 307 MB
- SHA256:
- 8793495378fa9a942a0d9550fa3b9fdc4052e8fb123fd0419c5b31c042b5167e
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