Technical Specifications of mj-fast-low-variation
| Specification | Details |
|---|---|
| Model ID | mj-fast-low-variation |
| Provider family | Midjourney image-generation workflow exposed through CometAPI (cometapi.com) |
| Primary modality | Text-to-image generation with image variation capability |
| Inference mode | Fast mode, optimized for quicker turnaround than slower queue-based modes offered in the broader Midjourney ecosystem |
| Variation profile | Low-variation / subtle variation behavior, intended to keep outputs closer to the composition and identity of the selected source image rather than making large stylistic departures |
| Typical use case | Creating alternate versions of an existing Midjourney result while preserving the core concept, layout, and subject consistency |
| Commercial use | Listed by CometAPI as supporting commercial usage (cometapi.com) |
| Pricing on CometAPI | Listed at $0.056 per request on the CometAPI model page at the time of retrieval (cometapi.com) |
What is mj-fast-low-variation?
mj-fast-low-variation is CometAPI’s platform identifier for a Midjourney-style image variation model endpoint designed to generate fast, low-divergence variations of an image generation result. Based on Midjourney’s official documentation, “variations” are follow-up generations that modify an existing image, and Midjourney also distinguishes between stronger and more subtle variation behavior in its controls. From that, this model can be understood as a fast-turnaround variation workflow intended to produce nearby alternatives instead of dramatically different remixes.
In practical terms, this model is best suited for users who already have a promising visual output and want additional options that preserve the original idea, framing, or character while making lighter changes in details, textures, arrangement, or emphasis. That makes it useful for design iteration, client optioning, brand-safe refinement, and rapid creative review pipelines.
Main features of mj-fast-low-variation
- Fast response profile: The model is positioned around Midjourney’s fast-generation workflow, making it appropriate for interactive applications and rapid iteration loops where users want follow-up variants without long waits.
- Subtle image variation: Its low-variation behavior is best interpreted as producing outputs closer to the original image, which is valuable when you want refinement rather than radical change.
- Consistent concept preservation: Because variation operations are meant to branch from an existing result, this endpoint is a strong fit for keeping subject matter, composition, and overall creative direction relatively stable across multiple alternatives.
- Useful for selection workflows: Teams can generate several nearby options from one approved draft, then choose the best image for marketing, product mockups, editorial art, or social media creative.
- Commercially usable through CometAPI: CometAPI’s listing marks the model as commercially usable, which is important for production deployments and client-facing creative tools. (cometapi.com)
- Simple API-based access: As a CometAPI-hosted model route, it can be integrated into existing applications through a standard API workflow rather than requiring users to operate directly inside native Midjourney interfaces. (cometapi.com)
How to access and integrate mj-fast-low-variation
Step 1: Sign Up for API Key
Sign up on CometAPI and create an API key from your dashboard. Once you have the key, store it securely and use it in the Authorization: Bearer YOUR_COMETAPI_KEY header for all requests to the mj-fast-low-variation API.
Step 2: Send Requests to mj-fast-low-variation API
Use CometAPI's Midjourney-compatible endpoint at POST /mj/submit/action.
curl https://api.cometapi.com/mj/submit/action \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $COMETAPI_API_KEY" \
-d '{
"prompt": "a futuristic cityscape at sunset --v 6.1",
"botType": "MID_JOURNEY",
"accountFilter": {
"modes": ["FAST"]
}
}'
Step 3: Retrieve and Verify Results
The API returns a task object with a task ID. Poll GET /mj/task/{task_id}/fetch to check generation status and retrieve the output image URL when the task reaches a terminal state.