Instructions to use 123zzzentorno/low_noise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 123zzzentorno/low_noise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("123zzzentorno/low_noise") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 05290fe3331f035714bc21655b0d51bad8bc12540741b4254720b406ce3485ff
- Size of remote file:
- 307 MB
- SHA256:
- 10e79fb30dc1f3a9aa3ac0bfaa6673523ca97824fa8f85fa820bc219612c67ee
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