Technical Specifications of mj-fast-modal
| Specification | Details |
|---|---|
| Model ID | mj-fast-modal |
| Provider / model family | Midjourney fast-generation image model endpoint |
| Modality | Text-to-image |
| Primary use cases | Rapid image generation, creative concepting, visual ideation, iterative prompting |
| Generation speed profile | Designed for fast generation; Midjourney documents Fast and Turbo speed modes, with V7 fast jobs around 40 seconds and Turbo around 18 seconds in its 2025 updates |
| Output type | AI-generated images |
| Prompting style | Natural-language prompts, with support in the Midjourney ecosystem for parameters controlling speed, model version, style, and related generation behavior |
| Personalization support | Midjourney’s recent model stack includes personalization profiles and moodboard-based personalization |
| Best fit | Teams and developers who want quick turnaround for image creation workflows via an API-compatible model identifier on CometAPI |
What is mj-fast-modal?
mj-fast-modal is CometAPI’s platform identifier for a Midjourney fast-generation image model endpoint built for quick text-to-image creation. Based on Midjourney’s public product updates, the underlying model family emphasizes faster generation, improved prompt understanding, higher image quality, and better coherence in newer versions such as V7. Midjourney also distinguishes between Fast and Turbo execution modes, both aimed at reducing turnaround time for image jobs, which aligns with the “fast” positioning of this model ID.
In practice, mj-fast-modal is suited to workflows where latency matters: rapid prototyping, creative exploration, marketing mockups, moodboard expansion, and iterative visual testing. Rather than being positioned as a general multimodal reasoning model, it appears to map to a fast image-generation capability within the Midjourney ecosystem, exposed through CometAPI under a stable model ID for integration convenience.
Main features of mj-fast-modal
- Fast image generation: Optimized for shorter turnaround times, making it useful for rapid creative iteration and high-tempo production workflows.
- Text-to-image creation: Accepts natural-language prompts and produces original AI-generated imagery for design, concept art, content, and ideation tasks.
- Improved prompt understanding: Midjourney’s newer model updates describe stronger prompt comprehension, which helps users get closer to intended visual outcomes with fewer revisions.
- Better visual coherence: Public Midjourney announcements highlight gains in coherence for bodies, hands, objects, textures, and overall scene consistency.
- Support for iterative workflows: Fast generation is especially valuable when testing multiple prompt variations, refining compositions, or comparing styles quickly.
- Compatible with personalization trends in the model family: Midjourney has introduced personalization profiles, moodboards, and style-reference improvements, suggesting stronger alignment with user-specific aesthetics in related workflows.
- Useful for production and event-driven use: Midjourney describes its faster modes as particularly helpful when users are in a rush, collaborating live, or generating visuals for time-sensitive scenarios.
How to access and integrate mj-fast-modal
Step 1: Sign Up for API Key
To get started, sign up on CometAPI and generate your API key from the dashboard. You’ll use this key to authenticate every request. After creating the key, store it securely in an environment variable such as COMETAPI_API_KEY.
Step 2: Send Requests to mj-fast-modal API
Use CometAPI's Midjourney-compatible endpoint at POST /mj/submit/modal.
curl https://api.cometapi.com/mj/submit/modal \
-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.