ImageGemini 3 Pro Image Preview
Nano banana Pro — high-fidelity Gemini image generation up to 4K with up to 14 reference images.
From $0.053 per image
Midjourney V7 — Image Generation, Upscale & Editing
Midjourney V7 turns a text prompt into four high-quality images per request, with native --ar / --s / --chaos syntax, Omni Reference (--oref), and Style Reference (--sref). Call Midjourney V7 from one OpenAI-style endpoint on reApi — plus eleven edit operations: upscale, variation, remix, inpaint, outpaint, pan, enhance, retexture, canvas edit, and background removal.
Input
Describe the image; append MJ flags like --ar 16:9 --s 500
Affects price and queue priority
Estimated cost88 credits≈ $0.088
Result
Try one of these prompts
What you can build with this model
Real-world workflows and production use cases you can build and ship with this model.
Generate four Midjourney V7 variations per request
Every Midjourney V7 request returns up to four image variations, so a single call gives an art director real options instead of one take. Drive composition with native flags — --ar for aspect ratio, --s for stylize, --chaos for spread — and pick the frame that lands. Because Midjourney V7 is async, you submit a prompt, get a task id back, and poll for the four results when they are ready.
Open the playground
Anchor a subject with Omni Reference and Style Reference
Midjourney V7 supports Omni Reference (--oref) to keep a character, product, or object consistent across generations, and Style Reference (--sref) with an adjustable --sw weight to lock a look. That is the right control set for brand-consistent product photography and reusable style systems — the same Midjourney V7 reference setup repeated across an entire campaign.
Edit without leaving the Midjourney V7 pipeline
Once Midjourney V7 generates an image, the same task id flows into eleven edit operations: upscale to high resolution, pull subtle or strong variations, remix with a new prompt, inpaint a masked region, outpaint or pan the canvas, enhance a draft, retexture, or strip the background. No re-upload, no second model — the edit operations reference the Midjourney V7 task you already ran.
Pricing
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
| Category | Unit | Price |
|---|---|---|
| Draft | ||
| Image generation | 1 request (4 images) | $0.044 44 credits |
| Fast | ||
| Image generation | 1 request (4 images) | $0.088 88 credits |
| Lightweight edit (remove-bg / pan / outpaint / enhance) | 1 request | $0.088 88 credits |
| Heavy edit (upscale / variation / remix / inpaint / canvas) | 1 request | $0.131 131 credits |
| Turbo | ||
| Image generation | 1 request (4 images) | $0.175 175 credits |
| Lightweight edit (remove-bg / pan / outpaint / enhance) | 1 request | $0.175 175 credits |
| Heavy edit (upscale / variation / remix / inpaint / canvas) | 1 request | $0.262 262 credits |
Why reAPI
Four images, one async call
Midjourney V7 bills per request, not per image — each call produces four variations. Submit a prompt to /api/v1/images/generations, receive a task id, and poll until the four images are ready. The API returns 1-4 images depending on content review, and you are charged once per request regardless.
Native Midjourney syntax, verbatim
Use Midjourney V7 parameters directly in the prompt — --ar, --s, --chaos, --no, --seed, --sref, --oref, --iw, --sw, --sv. reApi forwards them unchanged, so prompts you already wrote for Midjourney V7 work as-is. The version is locked to V7; --v and --niji are ignored.
Generation and editing in one surface
Midjourney V7 on reApi is not just text-to-image. The same API key reaches upscale, variation, remix, inpaint, outpaint, pan, enhance, retexture, canvas edit, and background removal — eleven Midjourney V7 edit operations that chain off any image you generate.
Midjourney V7 vs DALL·E 3
Midjourney V7 and DALL·E 3 are both premium text-to-image models. Here is how Midjourney V7 on reApi is positioned against DALL·E 3 on the dimensions that matter for production image pipelines.
Capability
Midjourney V7 on reApi
DALL·E 3
Images per request
Four variations per request — pick the best frame from one call.
One image per request; multiple takes mean multiple calls.
Reference control
Omni Reference (--oref) for subject consistency and Style Reference (--sref / --sw) for look transfer.
No first-class subject/style reference; control is prompt-only.
Native syntax
Full MJ flag set in the prompt — --ar, --s, --chaos, --seed, --iw, and more.
Plain natural-language prompts; no parameter syntax.
Edit operations
Upscale, variation, remix, inpaint, outpaint, pan, enhance, retexture, background removal — eleven in all.
Inpainting via a separate edit endpoint; no upscale/variation chain.
Billing model
Per request (four images), with a draft / fast / turbo speed-cost tradeoff.
Per image, by resolution and quality.
Integration
Async task id + poll on an OpenAI-style endpoint; one key for generation and all edits.
Synchronous image response on the OpenAI Images API.
Comparison reflects publicly documented behavior at the time of writing. Capabilities and pricing on both sides change; verify current details against each provider before integrating.
Call Midjourney V7 in three steps
- step 01
Create an API key
Sign up at reApi and grab a key. Free signup credits cover dozens of Midjourney V7 generations — enough to test image-to-image, Omni Reference, and an upscale before topping up.
Open - step 02
Submit a Midjourney V7 prompt
POST a request with model mj-v7 and your prompt to /api/v1/images/generations, with native MJ flags in the prompt. Midjourney V7 returns a task id immediately — generation is asynchronous and typically completes in one to three minutes.
Open - step 03
Poll for the four results
GET /api/v1/tasks/:task_id until status is completed, then read the image URLs. Feed that same task id into any Midjourney V7 edit operation — upscale, variation, inpaint — to keep working on the result.
Open
Frequently asked questions
Common questions about this model.
Midjourney V7 is Midjourney’s V7 image generation model. It renders four images per request from native MJ prompt syntax, supports Omni Reference and Style Reference, and chains into eleven edit operations. On reApi it ships as model id mj-v7 on the OpenAI-compatible /api/v1/images/generations endpoint, with the edits as sibling model ids like mj-v7-upscale and mj-v7-inpaint.
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