Instructions to use wolfer45/bullettimehigh-wan22-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/bullettimehigh-wan22-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/bullettimehigh-wan22-i2v") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d47d73753cd7e4b2e4db0dacd021add48d627f81ac2d7b2b3b55357d1f97d05e
- Size of remote file:
- 38.4 MB
- SHA256:
- c85acd5ba81b31ba4c61a15b8fcbff095d6018a991b0fd2ca232f2fd5fd0bd4c
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