Instructions to use wolfer45/deepthroatfacev3-low-i2v-wan22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/deepthroatfacev3-low-i2v-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/deepthroatfacev3-low-i2v-wan22") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d03206fbffcba6e10750e65b0bd0122b6b2fb02bbf9406598b3c2f9ccf7f6b56
- Size of remote file:
- 307 MB
- SHA256:
- 17f7290bed73020bf9d5aaa8abb9ee4024606184dc2ab963047b927406d8ad9a
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