5: Release a simpler code for automatic labeling (combined with Tag2Text model): please see automatic_label_simple_demo.py.1: We decide to share more interesting demo in playground and we've already tested the DeepFloyd for image generation and style transfering and share some notes about using IF.4: Release PaintByExample demo with SAM.5: Release LaMa and RePaint demo, thanks for nice tips by Tao Yu.6: Release ImageBind-SAM simple demo which aims to segment with different modalities.3: Support Image-Referring-Segment, Audio-Referring-Segment and Text-Referring-Segment in ImageBind-SAM.

1 Our Grounded-SAM has been accepted to present a demo at ICCV 2023! See you in Paris!.And it's worth mentioning that this is a workflow for combining strong expert models, where all parts can be used separately or in combination, and can be replaced with any similar but different models (like replacing Grounding DINO with GLIP or other detectors / replacing Stable-Diffusion with ControlNet or GLIGEN/ Combining with ChatGPT). The core idea behind this project is to combine the strengths of different models in order to build a very powerful pipeline for solving complex problems. You can submit a new issue (with project tag) or a new pull request to add new project's links. We are very willing to help everyone share and promote new projects based on Segment-Anything, Please checkout here for more amazing demos and works in the community: Highlight Extension Projects.

We plan to create a very interesting demo by combining Grounding DINO and Segment Anything which aims to detect and segment Anything with text inputs! And we will continue to improve it and create more interesting demos based on this foundation.

Free download grounded 1.0