Instructions to use wikeeyang/Magic-Wan-T2IV-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Magic-Wan-T2IV-V3 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", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4a821a4ccec84a2753d7737fdc4db04057a0c5083451a3b5ccf9789ccd7eab15
- Size of remote file:
- 8.38 GB
- SHA256:
- 5b591b398c294600ec33f4ec65e53db67f9a3c815ca686d4a3e193e0ab32372e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.