How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("KaiChen1998/geodiffusion-nuimages-256x256", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

GeoDiffusion is a detection data generation model fine-tuned from Stable Diffusion v1-5. This repo contains the GeoDiffusion checkpoint trained on nuImages dataset under 256x256. Check detailed usage in our Github repo.

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Dataset used to train KaiChen1998/geodiffusion-nuimages-256x256

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