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:
- b01021d9a6004e6d49671788cd73fd2304dfc8159f588ce9667acb24c9d89d29
- Size of remote file:
- 307 MB
- SHA256:
- d71ca0a31d2d94543341243f7c974603df3ab13a57213a7f33debd35eb3e5e6a
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