Instructions to use tonyzyl/ladcast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonyzyl/ladcast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonyzyl/ladcast", 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
Add metadata, link to paper and code
#1
by nielsr HF Staff - opened
This PR improves the model card by ensuring people can find it at https://huggingface.co/models?pipeline_tag=time-series-forecasting.
It also adds the Diffusers library as recognized, as well as the paper.
tonyzyl changed pull request status to merged