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_turbo_upload
M

mj_turbo_upload

Per Request:$0.008
Commercial Use
Overview
Features
Pricing
API

Technical Specifications of mj-turbo-upload

ItemDetails
Model IDmj-turbo-upload
Provider familyMidjourney-compatible image generation workflow (cometapi.com)
Primary modalityImage generation / image-related workflow entrypoint (cometapi.com)
Access typeAPI via CometAPI unified model gateway (cometapi.com)
Pricing on CometAPI$0.008 per request (cometapi.com)
Commercial useSupported (cometapi.com)
Official listed price reference$0.01 per request, with CometAPI showing a lower rate on its model page (cometapi.com)
Typical use caseUpload-driven Midjourney Turbo generation flows, likely for image-to-image or upload-conditioned creation workflows inferred from the model name and listing context (cometapi.com)
Integration styleUnified authentication and API access through an aggregator platform rather than direct vendor-specific integration

What is mj-turbo-upload?

mj-turbo-upload is a CometAPI-listed model endpoint in the Midjourney category, positioned as an API-accessible option for fast, upload-oriented image generation workflows. The public model listings consistently associate it with Midjourney and present it as a request-based commercial API offering rather than a consumer-only tool. (cometapi.com)

Based on the naming and how similar aggregator pages classify it, mj-turbo-upload most likely refers to a Midjourney Turbo-style endpoint designed for workflows where an uploaded image is part of the generation process, such as using an existing image as a prompt influence or starting point. This is an inference rather than an explicitly documented capability on the indexed pages, but it is supported by the model name, Midjourney categorization, and image capability labels shown on related CometAPI pages. (cometapi.com)

In practical terms, developers would use mj-turbo-upload when they want to connect a product to a faster Midjourney-style image pipeline through CometAPI’s unified gateway, with centralized billing, a single authentication layer, and per-request pricing. (cometapi.com)

Main features of mj-turbo-upload

  • Upload-oriented workflow: The model name strongly suggests support for generation flows that begin with or depend on an uploaded image, making it suitable for image-conditioned creative tasks. This is an informed inference from the model identifier and listing context. (cometapi.com)
  • Turbo positioning: The turbo naming indicates a speed-focused variant intended for faster turnaround than standard-generation pipelines, which is typically valuable in interactive apps and rapid creative iteration. This is also an inference from the naming convention. (cometapi.com)
  • Commercial availability: CometAPI explicitly marks the model as available for commercial use, which matters for production deployments and customer-facing applications. (cometapi.com)
  • Simple per-request pricing: The model is listed at $0.008 per request on CometAPI, making cost estimation straightforward for prototyping and scaled usage. (cometapi.com)
  • Unified API access: As part of an aggregation platform, mj-turbo-upload benefits from a standardized integration pattern that can reduce vendor lock-in and simplify switching across models.
  • Midjourney ecosystem compatibility: The endpoint is categorized under Midjourney, indicating it is intended for developers who want Midjourney-style image generation capabilities through API access. (cometapi.com)

How to access and integrate mj-turbo-upload

Step 1: Sign Up for API Key

Sign up on CometAPI and create your API key from the developer console. Once generated, store the key securely and use it as your Bearer token for all requests. CometAPI exposes mj-turbo-upload through its unified API platform, so you can use the same authentication pattern you use for other supported models. (cometapi.com)

Step 2: Send Requests to mj-turbo-upload API

Use CometAPI's Midjourney-compatible endpoint at POST /mj/submit/upload-discord-images.

curl https://api.cometapi.com/mj/submit/upload-discord-images \
  -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": ["TURBO"]
    }
  }'

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_turbo_upload

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

Pricing for mj_turbo_upload

Explore competitive pricing for mj_turbo_upload, 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_turbo_upload can enhance your projects while keeping costs manageable.
Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Per Request:$0.008
Per Request:$0.01
-20%

Sample code and API for mj_turbo_upload

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

Related Blog

What is Midjourney V8? When will it be released?
Mar 19, 2026
midjourney

What is Midjourney V8? When will it be released?

Midjourney V8 is the upcoming next-generation AI image generation model expected to launch in 2026. It introduces faster rendering (up to 4–5×), improved prompt accuracy, better text rendering, higher coherence, and advanced control over image composition. It is designed to outperform V7 in realism, consistency, and workflow efficiency, while enabling features like batch generation and enhanced personalization.