🎆Using Recursive Ordinals to inscribe large images
Here How to inscribe large images as Ordinal recursions.
Visit https://oviato.com/recursives/image
Drag and drop your image on to the upload area
Click (+) to add more grids and (-) to decrease the grids. Each grid will be sliced into a separate inscription
Each slice will be saved as a loss-less WEBP
Fill in the taproot supported wallet to receive the ordinal. Your sliced inscriptions will be sent to this wallet. (If you don't have an Ordinal supported Wallet you can easily create one in Xverse for free. https://www.xverse.app/ (Make sure you copy Ordinal Wallet when selecting the Receive Address)
Click Pay & Inscribe and your sliced images will start processing once processed you will be shown the wallet information to send the inscription charges to. (You can send the required funds from any BTC wallet. It doesn't have to be same ordinal wallet)
Note: Make sure to send in the required amount within 10 minutes to avoid your order getting cancelled.
Once the wallet receives the required amount the Inscription que will start automatically. and you can see visually which slice is getting inscribed. You must wait until all the slices are inscribed and confirmed on the network before you can send the final inspiration
Your recursive images will be broadcasted for inscription separately.
Here are the statuses for each inscription
Waiting for inscription to start
Broadcasted - The inscription is broadcasted to mempool
Confirmed - The inscription is confirmed on the network
Once all recursives inscriptions are confirmed on the network click on "Continue to Final Inscription". You can see how many Transactions are broadcasted and confirmed once you click Continue button. The process of confirming the transactions on the network might take some time depending on the network load.
Once you all recursive inscriptions are confirmed Click "Continue to Final Inscription"
Key in the wallet to receive the final inscription and confirm the required amount.
Your final inscription is inscribed using RecursiveImages component. Learn more about RecursiveImages web component https://github.com/ordlify/recursives
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