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 vae/diffusion_pytorch_model.safetensors from MVRL/VectorSynth: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/MVRL/VectorSynth/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://MVRL/VectorSynth/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/MVRL/VectorSynth/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- ebbb0dc79a40c4d4aa08a708aa9d4edfaa62bd72bfaa291322e5858fc542efee
- Size of remote file:
- 335 MB
- SHA256:
- 2aa1f43011b553a4cba7f37456465cdbd48aab7b54b9348b890e8058ea7683ec
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