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Segmaestro

7

66

3

Updated: Feb 10, 2025

conceptsdxflux

Type

Workflows

Stats

66

0

Reviews

Published

Feb 10, 2025

Base Model

Flux.1 D

Hash

AutoV2
4B8A7504BE

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Florence-2 & GroundingDINO + SAM: Advanced AI Image Segmentation Workflows

🚀 Unlock the power of cutting-edge AI-driven image segmentation with two robust workflows designed for precision and efficiency! Whether you're working on semantic segmentation or detailed object detection, these workflows will revolutionize your process.

🖼 Florence-2 Segmentation Workflow
🔹 Utilizes Microsoft's Florence-2 for semantic segmentation
🔹 Processes images with Referring Expression Segmentation (RES)
🔹 Generates clean segmentation masks from descriptive prompts (e.g., "body")

🖼 GroundingDINO + SAM Workflow
🔹 Combines GroundingDINO (object detection) + SAM (Segment Anything Model)
🔹 Detects objects based on natural language prompts (e.g., "skin")
🔹 Delivers high-precision object masks

💡 Use Cases:
✅ Precise background removal
✅ AI-assisted photo editing
✅ Object detection in real-world images
✅ Automated AI-driven segmentation for creative & technical applications

These workflows are designed for professionals and AI enthusiasts seeking higher accuracy in image processing. Test them today and elevate your AI image segmentation workflow! 🔥