Instructions to use wolfer45/r3v3rs3-c0wg1rl-low-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/r3v3rs3-c0wg1rl-low-i2v 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/r3v3rs3-c0wg1rl-low-i2v") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eb1c90b75b56ebf8b142e327742a5b05fe6017c256c11437880017e51549a8b7
- Size of remote file:
- 614 MB
- SHA256:
- 445c3de529557c1299fdf043d1c804ae7138be56cf6a0e20537cee6bba7a8e02
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