Instructions to use Muapi/anal-insertion-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/anal-insertion-i2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/anal-insertion-i2v") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- 034092c303e8f60c184a7513976f845824d48710dff11ebdcf7dc1d07325aff1
- Size of remote file:
- 1.25 MB
- SHA256:
- 042016302d4bc236d0528d1ccd2ea942d89ab4327221232d5a4ffccfa8ff4fe1
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