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
Download diffusion_pytorch_model.safetensors from MVRL/VectorSynth: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/MVRL/VectorSynth/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://MVRL/VectorSynth/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/MVRL/VectorSynth/resolve/main/diffusion_pytorch_model.safetensors
1.46 GB
- Xet hash:
- 3dd45a3b529fbfc9e7a0475e711c076e879c761f5aa92ee80177e293eb5341ae
- Size of remote file:
- 1.46 GB
- SHA256:
- 28707643c4542c85c1713c57257771a36eef3cc0372b86fb35f0d18ff40b46d5
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