Instructions to use wolfer45/r3v3rs3-c0wg1rl-high-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/r3v3rs3-c0wg1rl-high-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-high-i2v") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 79eec98a417d467a2203df30c0e7a1e3b5d6a13658a76e0f50a410ff244d8d77
- Size of remote file:
- 614 MB
- SHA256:
- e39e4567ed9b5793321313bf0d74dc1a5c65ae98ee479072e78a7aae91d02f8e
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