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:
- 6601f8b64687f23098603ac96088c4f1292c3b234796a8a9688084b65ea13594
- Size of remote file:
- 460 MB
- SHA256:
- a373f23225a5b8dd29d6d5e7286bf93cd55c1d1193002e4e2172665d195060d6
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