Instructions to use profpeng/povlowangleride with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/povlowangleride with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/povlowangleride") prompt = "From a low angle, a woman is having sex, bouncing up and down. Fast and dynamic motions." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 49f584232dc03deac03bf6a476d8bed63c95dc8a3094865f2341fd3818d5d49d
- Size of remote file:
- 307 MB
- SHA256:
- ce611c9c621f2a74d07852d7b225ce4d1052e510642ca849974d2609effe017a
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