Instructions to use Jaytsh/WAN-Smooth1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jaytsh/WAN-Smooth1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Magic-Wan-T2IV-V3", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jaytsh/WAN-Smooth1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d4362850dd2a547410cbb8842cfe69919f4e8aa417a15bf05a3665e9e5d4a19b
- Size of remote file:
- 307 MB
- SHA256:
- ad50dfc46c765a6ccc36d40e8a5f77ac2db041f68266593add12ac5f5eac2d76
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