Instructions to use GiorgioV/wan_test_smash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GiorgioV/wan_test_smash 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("GiorgioV/wan_test_smash") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dd26dfb9fc21176fae3b6b1be9db75dc1162b0400314981d57a19c1f543423c2
- Size of remote file:
- 153 MB
- SHA256:
- b43e4e9b6793bdf09aaf261681ec2fe1b08d4cbf42ea847cc702465717cdb2bc
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