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
- Draw Things
- DiffusionBee
BF16/FP16 Version
#3
by UbuUbu - opened
Hello, thanks for you awesome work, could you release a BF16/FP16 version so I can make a MXFP8 quant.
MXFP8 deliver faster inference on 50xx gpu with almost FP16 quality and FP8 size, it's almost magic :D
Hello, thanks for you awesome work, could you release a BF16/FP16 version so I can make a MXFP8 quant.
MXFP8 deliver faster inference on 50xx gpu with almost FP16 quality and FP8 size, it's almost magic :D
Here you can get it now π€βοΈ: https://huggingface.co/wikeeyang/Magic-Wan-T2IV-V3/resolve/main/Magic-Wan-Image-V3-mxfp8mixed.safetensors
Yeaahhh downloading right now β₯
A BF16 version would still be really helpful for more exotic quantizations (INT8), and to finetune on.