mj_fast_prompt_analyzer

Technical Specifications of mj-fast-prompt-analyzer

What is mj-fast-prompt-analyzer?

mj-fast-prompt-analyzer is a specialized API model identifier used on CometAPI for a Midjourney-related prompt analysis endpoint. Public search results show it in CometAPI’s Midjourney model catalog and in other aggregator listings, but detailed first-party technical documentation about its internal architecture, context size, or exact response schema is not publicly exposed in the pages surfaced by search.

Based on its name, placement, and neighboring Midjourney prompt resources, the model appears intended to evaluate or interpret prompts before image generation, helping developers build tooling around prompt quality, structure, and suitability for Midjourney-style creative workflows. That interpretation aligns with Midjourney’s own documentation, which emphasizes that wording, descriptive specificity, and prompt composition materially affect output quality.

In practice, this kind of analyzer endpoint is useful when you want an application to review user input before sending it onward in a visual-generation pipeline. For example, a product could use mj-fast-prompt-analyzer to detect underspecified prompts, identify missing visual descriptors, or prepare prompts for downstream optimization. This is an inference from the model’s naming and the role of prompts in Midjourney workflows, not a verbatim vendor specification.

Main features of mj-fast-prompt-analyzer

• Prompt-focused analysis: The endpoint is positioned as a Midjourney prompt analyzer rather than a general chat model, making it better suited for prompt-centric tooling and workflow automation.
• Fast workflow fit: The fast naming strongly suggests a lower-latency variant intended for interactive applications such as prompt editors, assistants, and validation layers. This is an inference from the model name and related catalog structure.
• Useful for prompt refinement pipelines: Since Midjourney prompt wording influences creative output, an analyzer model can support applications that score, improve, or standardize prompts before submission.
• Developer-friendly API availability: The model is exposed through API aggregation platforms, which typically means easier programmatic access, unified authentication, and standardized request handling.
• Commercial-use readiness: CometAPI’s listing marks the endpoint as available for commercial use, which is helpful for production deployments and customer-facing products.
• Companion variant ecosystem: The existence of mj-fast-prompt-analyzer-extended suggests developers may be able to choose between a standard analyzer workflow and a broader or more feature-rich variant depending on latency and output needs. This is an inference from the public catalog.

How to access and integrate mj-fast-prompt-analyzer

Step 1: Sign Up for API Key

To get started, create an account on CometAPI and generate your API key from the dashboard. Once you have the key, store it securely in an environment variable such as COMETAPI_API_KEY so your application can authenticate requests to mj-fast-prompt-analyzer.

Step 2: Send Requests to mj-fast-prompt-analyzer API

Use CometAPI's Midjourney-compatible endpoint at POST /mj/submit/imagine.

curl https://api.cometapi.com/mj/submit/imagine \
  -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.