MachGen

MachGen

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Updated September 16, 2026

Speeds up open-source image, video generation.

Key Takeaways

What it is
Speeds up open-source image, video generation.
Best for
  • Multi-model image and video generation
  • REST API
  • MCP Server

Who is Using MachGen?

Developers

Use MachGen APIs and client libraries to integrate production image and video generation.

AI agents

Connect through the MCP server so agents can generate, edit, upscale, inspect, and download media.

Prosumers and hobbyists

Generate high-quality video on demand through the MachGen application.

Enterprises

Deploy optimized inference infrastructure for proprietary models and production workloads.

Key Features

Multi-model image and video generation: Provides text-to-image, image editing, text-to-video, image-to-video, reference-to-video, and video upscaling across multiple model providers.
REST API: Developers can submit asynchronous generation tasks, poll status, and download completed assets through documented HTTPS endpoints.
MCP Server: Connects Claude Desktop, Claude Code, or Codex to generate, edit, upscale, inspect, and download MachGen assets.
Python client: The official Python package provides typed models, automatic uploads, blocking or streaming waits, and asset downloads.
Reference and file inputs: Users can provide image, video, audio, document, webpage, or previously generated asset inputs for supported workflows.
LoRA fine-tuning: MachGen Cloud offers LoRA training and fine-tuning for quality adaptation of supported customer models.

Pricing Plans

Pay-as-you-go

  • Per-model pricebook
  • Pay per generation
  • Wallet top-up from $5
  • No commitment
  • Image and video APIs ready for production
  • Auto-reload available

MachGen Cloud OR Serverless

  • Run on MachGen Cloud
  • Committed GPU-hour contract
  • Capacity sized to throughput needs
  • B200 GPU option
  • B300 GPU option

VPC

  • Deploy the optimized stack inside your own cloud environment
  • Billing per GPU per hour
  • Pricing based on fleet size
  • Pricing based on hardware mix
  • Pricing based on support tier

Which MachGen plan should you pick?

Start with Pay-as-you-go for experimentation and API use, then consider MachGen Cloud or VPC when you need managed or customer-hosted production deployment.

Pay-as-you-go

Good for developers, agents, and production apps that need usage-based image, video, or audio generation.

MachGen Cloud

Good for teams that need managed GPU deployment under a committed throughput contract.

VPC

Good for enterprises that need the optimized inference stack inside their own cloud environment.

MachGen Use Cases

Text-to-video generation

Write a prompt and generate video using supported video models and output settings.

Outcome: A generated video asset.

Image-to-video animation

Provide a source image and prompt to animate it with a supported model.

Outcome: An image-driven video clip.

Reference-guided video

Combine reference images, videos, audio, and text to guide subject and scene generation.

Outcome: A more specifically directed video result.

Image editing

Attach source images and describe the changes while preserving selected visual details.

Outcome: An edited image.

Speech and dialogue generation

Generate speech or multi-speaker dialogue using the ElevenLabs v3 model route.

Outcome: A voice or dialogue audio asset.

Workflow Ideas with MachGen

Generate and upscale a video

  1. 1Choose a supported video model
  2. 2Generate the initial video
  3. 3Run the video upscale task on the completed result

Create an image variation

  1. 1Upload one or more source images
  2. 2Describe the requested visual changes
  3. 3Generate and inspect the edited image

Use MachGen through an AI agent

  1. 1Create a MachGen API key
  2. 2Connect Claude Code or Codex to the MachGen MCP server
  3. 3Ask the agent to generate, edit, inspect, or download assets

How MachGen fits into your stack

Browser

The MachGen web application provides model browsing, generation, uploads, asset history, and task management.

Automation and APIs

REST endpoints and the Python client support programmatic generation, polling, uploads, downloads, and production integrations.

AI agents

The remote MCP server connects MachGen with Claude Desktop, Claude Code, and Codex for natural-language media workflows.

Cloud infrastructure

MachGen Cloud, Serverless, and VPC deployment options place optimized inference into managed or customer-controlled environments.

Pros

  • +Broad catalog of image, video, audio, and realtime models
  • +Documented REST API and Python client
  • +MCP support for Claude and Codex workflows
  • +Pay-as-you-go pricing with wallet top-ups from $5
  • +VPC and managed-cloud deployment options

Cons

  • −No recurring subscription tiers are listed
  • −Usage requires prepaid wallet credits
  • −Credits expire 365 days after purchase
  • −Enterprise cloud and VPC pricing requires contacting sales
  • −No dedicated mobile, desktop, or browser-extension apps documented

Limitations & when to consider alternatives

Known limitations

  • Usage requires credits. MachGen requires users to purchase credits in advance, and generation deducts credits from the account wallet.
  • Model capabilities vary. Each model supports only specific task types, resolutions, durations, and input combinations.
  • Generation is asynchronous. API users generally submit a task, poll its status, and download the completed result.
  • API keys authorize billable generation. MachGen warns that API keys authorize billable generation and should not be exposed in client-side code.
  • LiveSession media is not automatically saved. Realtime LiveSession media is not automatically saved as a generated task, history item, or asset.

Look elsewhere when

  • You need a native mobile app.
  • You need a browser extension.
  • You need a desktop installer.
  • You need a free plan.

How to Use MachGen

  1. 1

    Create an account and add credits

    Purchase wallet credits because MachGen charges generation usage against the account balance.

  2. 2

    Choose a model and generation mode

    Select a supported model and task such as text-to-video, image-to-video, reference-to-video, text-to-image, or image editing.

  3. 3

    Generate in the Playground

    Add a prompt and any required source or reference assets, then select the available output settings.

  4. 4

    Use the API when integrating

    Create an API key and call the REST API, MCP server, or official Python client for programmatic generation.

  5. 5

    Poll and download results

    For asynchronous API tasks, check task status until completion and then download the returned asset.

  6. 6

    Scale deployment if needed

    Contact MachGen about MachGen Cloud or VPC deployment when serverless usage is no longer sufficient.

Who is MachGen For?

Developers

They can use REST endpoints, a Python client, API keys, and model-specific generation tasks.

AI agents

Agents can connect through the remote MCP server to generate images, video, audio, and edits.

Prosumers and hobbyists

They can purchase credits and use high-quality video and image generation on demand.

Enterprises

Enterprises can deploy optimized inference through MachGen Cloud or inside their own infrastructure.

Frequently Asked Questions

What is MachGen?

MachGen is an AI training and inference platform for image and video generation, visual perception, and emerging world models.

Who is MachGen for?

MachGen names developers, AI agents, prosumers, hobbyists, and enterprises deploying proprietary models as target users.

How do I get started?

Create an account, purchase credits, and start generating through the Playground or API.

What is MachGen Serverless?

MachGen Serverless provides pay-as-you-go access to optimized generation models through an API.

How does credit-based pricing work?

Each API call deducts credits based on the model, resolution, duration, and other generation parameters.

What deployment options are available?

MachGen offers MachGen Cloud and customer-hosted deployment inside a customer's cloud environment or data center.

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