LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
Paper • 2506.09193 • Published • 1
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]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.
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