ModelsPricingEnterprise
500+ AI Model API, All In One API.Just In CometAPI
Models API
Developer
Quick StartDocumentationAPI Dashboard
Company
About usEnterprise
Resources
AI ModelsBlogChangelogSupport
Terms of ServicePrivacy Policy
© 2026 CometAPI · All rights reserved
Home/Models/Midjourney/mj_fast_pic_reader
M

mj_fast_pic_reader

Per Request:$0
Commercial Use
Overview
Features
Pricing
API

Technical Specifications of mj-fast-pic-reader

SpecificationDetails
Model IDmj-fast-pic-reader
Provider categoryMidjourney-related model listing on CometAPI
Primary modalityImage understanding / image-to-text style processing
Available throughCometAPI unified model API
Pricing display on CometAPIPer request pricing is shown on the model page; the page snapshot currently displays $0 per request, which may reflect placeholder or promotional pricing rather than a final billable rate. (cometapi.com)
Commercial useListed as supporting commercial use on the CometAPI model page. (cometapi.com)
Capability tags shown on pageThe CometAPI page includes image-to-text among the supported capability labels, which is the most relevant visible indicator for this model. (cometapi.com)
Access patternAPI-based access via CometAPI’s model routing platform
Best-fit use casesFast picture reading, extracting meaning from images, and feeding visual inputs into downstream automation workflows
Documentation certaintyPublicly available details for this exact model are limited, so some positioning is inferred from the model name and the capability labels shown on the CometAPI listing. (cometapi.com)

What is mj-fast-pic-reader?

mj-fast-pic-reader is a CometAPI-listed model endpoint associated with the Midjourney model catalog and positioned for fast image reading or visual-content interpretation workflows. The clearest public signal on the model page is its image-to-text capability label, which suggests the endpoint is intended to analyze image inputs and return textual understanding or extracted content rather than generate new images. (cometapi.com)

Because the public page exposes only limited technical detail, the most reasonable interpretation is that mj-fast-pic-reader is meant for developers who need a lightweight, API-accessible way to process pictures quickly inside applications such as OCR-style pipelines, visual moderation flows, screenshot understanding, catalog enrichment, or general multimodal automation. This description is partly based on inference from the model name and page taxonomy, not on a full official specification. (cometapi.com)

In practice, this model ID is best understood as CometAPI’s platform identifier for a picture-reading endpoint: you send image-related input through CometAPI, target mj-fast-pic-reader, and use the returned structured or unstructured text output in your app logic.

Main features of mj-fast-pic-reader

  • Fast image reading orientation: The model name strongly suggests optimization for quick visual interpretation, making it a good fit for latency-sensitive image analysis tasks.
  • Image-to-text workflow support: The CometAPI listing explicitly shows image-to-text, indicating that the endpoint is intended to transform image inputs into textual output or understanding. (cometapi.com)
  • Developer-friendly API access: Since it is listed in CometAPI’s model catalog, it can be accessed through a unified API layer instead of requiring provider-specific integration logic. (cometapi.com)
  • Commercial-use availability: The model page marks the model as available for commercial use, which is important for production deployments and customer-facing applications. (cometapi.com)
  • Useful for automation pipelines: mj-fast-pic-reader is a practical fit for workflows such as screenshot parsing, document snapshot reading, image caption extraction, and visual metadata generation; this is an inference from the visible capability label and naming. (cometapi.com)
  • Aggregator-based deployment flexibility: By using CometAPI as the access layer, teams can standardize authentication, billing, and request patterns across multiple models, including mj-fast-pic-reader. (cometapi.com)

How to access and integrate mj-fast-pic-reader

Step 1: Sign Up for API Key

Sign up on CometAPI and create an API key from the developer dashboard. After generating your key, store it securely in an environment variable such as COMETAPI_API_KEY. This key will be used to authenticate every request you send to mj-fast-pic-reader.

Step 2: Send Requests to mj-fast-pic-reader API

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

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

Features for mj_fast_pic_reader

Explore the key features of mj_fast_pic_reader, designed to enhance performance and usability. Discover how these capabilities can benefit your projects and improve user experience.

Pricing for mj_fast_pic_reader

Explore competitive pricing for mj_fast_pic_reader, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how mj_fast_pic_reader can enhance your projects while keeping costs manageable.
Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Per Request:$0
Input:0.00/M
Output:0.00/M
-

Sample code and API for mj_fast_pic_reader

Access comprehensive sample code and API resources for mj_fast_pic_reader to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of mj_fast_pic_reader in your projects.

More Models

G

Nano Banana 2

Input:$0.4/M
Output:$2.4/M
Core Capabilities Overview: Resolution: Up to 4K (4096×4096), on par with Pro. Reference Image Consistency: Up to 14 reference images (10 objects + 4 characters), maintaining style/character consistency. Extreme Aspect Ratios: New 1:4, 4:1, 1:8, 8:1 ratios added, suitable for long images, posters, and banners. Text Rendering: Advanced text generation, suitable for infographics and marketing poster layouts. Search Enhancement: Integrated Google Search + Image Search. Grounding: Built-in thinking process; complex prompts are reasoned before generation.
D

Doubao-Seedance-2-0

Per Second:$0.08
Seedance 2.0 is ByteDance’s next-generation multimodal video foundation model focused on cinematic, multi-shot narrative video generation. Unlike single-shot text-to-video demos, Seedance 2.0 emphasizes reference-based control (images, short clips, audio), coherent character/style consistency across shots, and native audio/video synchronization — aiming to make AI video useful for professional creative and previsualization workflows.
C

Claude Opus 4.7

Input:$3/M
Output:$15/M
Claude Opus 4.7 is a hybrid reasoning model designed specifically for frontier-level coding, AI agents, and complex multi-step professional work. Unlike lighter models (e.g., Sonnet or Haiku variants), Opus 4.7 prioritizes depth, consistency, and autonomy on the hardest tasks.
A

Claude Sonnet 4.6

Input:$2.4/M
Output:$12/M
Claude Sonnet 4.6 is our most capable Sonnet model yet. It’s a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Sonnet 4.6 also features a 1M token context window in beta.
O

GPT-5.4 nano

Input:$0.16/M
Output:$1/M
GPT-5.4 nano is designed for tasks where speed and cost matter most like classification, data extraction, ranking, and sub-agents.
O

GPT-5.4 mini

Input:$0.6/M
Output:$3.6/M
GPT-5.4 mini brings the strengths of GPT-5.4 to a faster, more efficient model designed for high-volume workloads.