Image-to-Image
Diffusers
Safetensors
StableDiffusionControlNetPipeline
controlnet
stable-diffusion
satellite-imagery
osm
Instructions to use MVRL/VectorSynth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MVRL/VectorSynth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MVRL/VectorSynth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17d6bad94502b94cd3940323e88f0ca39ae6f5a928a3146bff9dc57b65853962
- Size of remote file:
- 1.36 GB
- SHA256:
- 67e013543d4fac905c882e2993d86a2d454ee69dc9e8f37c0c23d33a48959d15
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.