Instructions to use Matelefy/I2VBJHighNoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matelefy/I2VBJHighNoise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Market5/Wan_2.2-2.1_POV_Missionary", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Matelefy/I2VBJHighNoise") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 58c66d55551445c2df0726b55edaea4218fbe1e693871acf1aaafcd96672eddf
- Size of remote file:
- 230 MB
- SHA256:
- f920a51f33e4cd9383de096ab9c7b942cda6a453bb2cd8e137cc8a527af25eb1
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