Instructions to use wolfer45/middlefinger-low-t2v-wan22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/middlefinger-low-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/middlefinger-low-t2v-wan22") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2f1271c8e7161a7de45e5c73bd8da92334c75a76efb3abfc22d182ce4e781b98
- Size of remote file:
- 307 MB
- SHA256:
- 5a945fbe25750680463f61299de94ac3e2beff72741d6c9ced6d98532d8592a9
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