#jupyter_notebook
DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images.
https://github.com/facebookresearch/dinov3
⚡️ Advanced Camera Control is now available for #Gen3 Alpha Turbo. Choose both the direction and intensity of how you move through your scenes for even more intention in every shot
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⚡️ Camera controls have appeared in Runway #Gen3 alpha!
No official announcement yet, but it looks like they’re rolling it out gradually. 😍
Credits: Pierrick Chevallier
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"The Schnitzel Dilemma"
A short film about two colleagues planning their lunch date. Generated with runwayml #Gen3 new Act-One model 😍
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