Instructions to use wolfer45/slap-t2v-lowv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/slap-t2v-lowv2 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/slap-t2v-lowv2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ec79bae8b15bb8a5308ed3c05a716c312b86e861b53404be5c1f2b86730e9832
- Size of remote file:
- 307 MB
- SHA256:
- ca27e26c46e33ae3e004c943e3b2ee2d6cfcb7d82ef7e1a746027c1f0879cba9
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