Instructions to use wolfer45/reversedeepthroatv2-high-i2v-wan22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/reversedeepthroatv2-high-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/reversedeepthroatv2-high-i2v-wan22") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 366a95ed0fc3a4b72c50242898da03dbea6714849f6057dcd41bbc705ab8e58d
- Size of remote file:
- 153 MB
- SHA256:
- 06bcd567d08f63659fef2d74ec0c2c6eb87154498330c61c7750f7cb9e341b6b
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