Instructions to use wolfer45/ultimateblowjobv-high-t2v-wan22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/ultimateblowjobv-high-t2v-wan22 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/ultimateblowjobv-high-t2v-wan22") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b20b33d7807d255add02b4200d0f0405ce07c339766adf1c1a0e3cc6754eb050
- Size of remote file:
- 614 MB
- SHA256:
- 942ef154765395f7680311523d13750b6b2672895d35fafe87eea3dfa2cd90b1
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