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
Q5_K_M
Hi.
This is a great model; I’ve been using it exclusively for several months now (v1, v2, and now v3).
Thanks for your hard work.
But I have a request: could you create a Guff version of Q5_K_M?
Thanks in advance for your reply.
Hi.
This is a great model; I’ve been using it exclusively for several months now (v1, v2, and now v3).
Thanks for your hard work.
But I have a request: could you create a Guff version of Q5_K_M?
Thanks in advance for your reply.
Sure, Bro, Thanks a lot for you to like this model, I will create it and upload later.
@Logovod I had upload https://huggingface.co/wikeeyang/Magic-Wan-T2IV-V3/resolve/main/Magic-Wan-Image-V3-Q5_K_M.gguf and https://huggingface.co/wikeeyang/Magic-Wan-T2IV-V3/resolve/main/Magic-Wan-Image-V3-Q4_1.gguf, you can download and try it.