Instructions to use lightx2v/Minimax-h3-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Minimax-h3-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Minimax-h3-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
The color became dull.
#9 opened about 1 hour ago
by
sdqq1234
PEFT Training Params
2
#8 opened about 12 hours ago
by
QrusherZA
Preview for Ref2VA?
2
#7 opened about 17 hours ago
by
krigeta
Will this Lora work if I use 8 steps? And if so, should I set the Lora strength to 0.5 instead of 1?
2
#6 opened about 20 hours ago
by
Debich
Thanks, you’re my hero!
❤️👍 9
1
#4 opened about 21 hours ago
by
sunnyboxs
Thanks and ComfyUI conversion
👍🔥 32
3
#3 opened about 22 hours ago
by
Kijai
V0.1 is a preview version
❤️🔥 21
10
#2 opened about 22 hours ago
by
X-niper