The #1 Midjourney API Platform
Legnext is a service for adding Midjourney image and video workflows to applications through a REST API. The publisher's product page describes generating content without a separate Midjourney account, while also offering an optional mode for people who already have a Midjourney subscription. The API is the main interface for integrating these tasks into an app.
Generate and edit images
Legnext supports text-to-image generation, variations, upscaling, inpainting, zoom, and pan. Its page also lists blend and describe operations, reference-image uploads, and parameters such as --sref and --cref. These let a developer build a workflow around both a prompt and existing visual material.
The publisher lists Fast and Turbo generation modes. You select a mode in an API request to change the task's speed and credit cost. Image tools also include background removal, retexturing, and enhancement. Legnext separately describes video generation from prompts or images, video extension, and video upscaling.
Compare task-based costs
The pricing page sets the credit exchange at $1 for 1,000 credits. Pay-as-you-go billing has no monthly fee, and different task types consume different amounts. For example, the table lists standard generation at 80 points in Fast mode and 160 in Turbo, while image-to-video at 480p uses 480 or 960.
Draft modes have a specific restriction: the pricing page says they are available only for V7 tasks. This matters when comparing the lower draft-mode entries with standard generation costs.
Use an existing Midjourney account
Legnext's bring-your-own-account option charges 20,000 credits per month for each bound account. Fast-mode image tasks then run on your own Midjourney subscription without consuming platform credits for those tasks. Video and editing tools remain pay-as-you-go, and the account can be unbound.
Commercial use depends on Midjourney's terms and your subscription plan, according to Legnext's FAQ. For an integration, the publisher recommends keeping the API key on the server, retaining the job ID, polling until completion, and saving the generated image.
