title: Rangrez
emoji: 🧵
colorFrom: indigo
colorTo: yellow
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0
short_description: A self-driving dye lab on Meta models
Rangrez: a self-driving dye lab
▶ Watch the 3-minute demo · A recorded live run · The 2-minute tour
Pick a colour and press Start campaign. Rangrez mixes a recipe, dyes a cotton strip in its simulated lab (a hidden dye lot that differs from the supplier's model), photographs it like a phone would, measures it, and corrects itself until the cloth matches. Every dip photo is a real-looking scene: desk lamps, daylight, tube lights, shadows, paper of unknown whiteness.
Without the live passcode it runs the offline policy and SAM masks cached for each scene. With it, hosted SAM 3.1 measures every photo and Muse Wonder runs the campaign, and you can read a target colour from your own photo ("match this kurta").
Photograph your outfit: SAM 3.1 reads its colour (a few free reads a day per visitor) and Rangrez gives you a recipe to dye a matching cloth at home, in drops of blue, red and yellow household colour.
With the passcode you can also paste the buyer's message (English or Hindi) for Muse Spark to read into an order, run the lab hands-free by voice in English or Hindi (Muse Voice Transcribe), and see the customer's garment in the approved shade (Muse Image, measured and corrected).
One lab, shared by everyone viewing: if a campaign is running, you are watching it.
Code, hardware, firmware and evaluation: https://github.com/TusharTechs/rangrez Open weights: https://huggingface.co/TechTush/rangrez-glimmer-lora · Dataset: https://huggingface.co/datasets/TechTush/rangrez-lab-dips