Instructions to use wolfer45/4llinon-low-w22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/4llinon-low-w22 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/4llinon-low-w22") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 902421abe04ad26ec8c4b613076824a6627bdc633ba8aa4050c07a0b2b6e333c
- Size of remote file:
- 307 MB
- SHA256:
- 67b933a6aa485da9632b1e540411ed53ff451e554d42aee8aadad815598395ff
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