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:
- b9c051bc3222e564645af5ac32e6b30e001fdba4cee3833c405b62d7acd22517
- Size of remote file:
- 307 MB
- SHA256:
- 633935a4f55cfa89b95104f05ba0a7055188f3c8b2d50930260796c1c948ff83
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