Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

tonyzyl
/
ladcast

Time Series Forecasting
Diffusers
Safetensors
Model card Files Files and versions
xet
Community
1

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

This repository contains the LaDCast model presented in LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting.

For code and sample usage, see https://github.com/tonyzyl/ladcast.git.

Downloads last month
-
Inference Providers NEW
Time Series Forecasting
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Paper for tonyzyl/ladcast

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting

Paper โ€ข 2506.09193 โ€ข Published Jun 10, 2025 โ€ข 1
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs