Instructions to use MurakawaTakuya/M3DDM-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MurakawaTakuya/M3DDM-Plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MurakawaTakuya/M3DDM-Plus", 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
Improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the Hugging Face community science team. I've updated your model card to improve its visibility and documentation:
- Updated the
pipeline_tagtoimage-to-video. - Added
library_name: diffusersto the metadata, based on theUNet3DConditionModelfound inconfig.json. - Updated the arXiv badge to link to the paper page on Hugging Face.
- Added a link to the official GitHub repository.
- Provided a brief summary of the model and a sample usage section for inference, derived from the GitHub README.
- Added a proper BibTeX citation.
- Retained the Acknowledgement section.
Please review and merge if this looks good to you!
Hi , thank you so much for the help and for improving the model card!
Sorry for the slow turnaround, as I’ve been quite busy recently.
I’ll review the changes and merge them within the next few days (at latest within the next couple of weeks).
Thanks again!