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:
- 4497c4e210818ea2d067385cbadb0b1a18d9e7fb9170de8cbe3e1e13a11af258
- Size of remote file:
- 208 kB
- SHA256:
- eabf04621a9828fcca43417ff5d0ff21404c2cdd7166229192af6003ed5cc65a
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