GeoSynth-OSM

Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This is a ControlNet based model that synthesizes satellite images given OpenStreetMap Images. The base stable diffusion model used is stable-diffusion-2-1-base (v2-1_512-ema-pruned.ckpt).

• Use it with 🧨 diffusers
• Use it with controlnet repository

Model Sources [optional]

<!-- Provide the basic links for the model. -->

• Repository: stable-diffusion
• Paper: Adding Conditional Control to Text-to-Image Diffusion Models

Examples

from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
import torch
from PIL import Image

img = Image.open("osm_tile_18_42048_101323.jpeg")

controlnet = ControlNetModel.from_pretrained("MVRL/GeoSynth-OSM")

pipe = StableDiffusionControlNetPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", controlnet=controlnet)
pipe = pipe.to("cuda:0")

# generate image
generator = torch.manual_seed(10345340)
image = pipe(
    "Satellite image features a city neighborhood",
    generator=generator,
    image=img,
).images[0]

image.save("generated_city.jpg")

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

Citation [optional]

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]