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
sound effects issues
#31
by FragmentY - opened
Thank you for creating these amazing Loras. It’s really excellent in many aspects. but I have a problem that I cant fix yet: the sound effects issue.
I have tried using different Loras, along with various samplers and settings. However, the sound effects always seem to have problems. Most of the time, the sound effects are very faint or even disappear. Sometimes, the sound effects sound strange. How can this be resolved?
Same problem here, a different LoRA doesn't seem to have the strange slight sound anomaly, like a very slight distortion or echo of what someone might be saying for example. Either I'm using this LoRA incorrectly or there's a bug. Visually however, it's stunning.