Can I generate an image from text with both Codex and Claude?

Yes. Codex and Claude can use medux_text_to_image through Medux MCP. Choose the matching tab for client-specific prompting while using the same Medux operation and request contract.

Which Medux MCP tool does this tutorial use?

This workflow uses medux_text_to_image. Review the linked API reference for the current request and response contract.

Unified Codex + Claude tutorial · generate

How to generate an image from text with Medux MCP

Learn to generate an image from text with the Medux API through Codex or Claude MCP. Check inputs, tool calls, task status, and output.

POST/api/app/v1/generate/image/text_to_image

Generate an image from a text prompt.

Open the Create Text to Image API reference →

Choose your AI client

Follow the Codex or Claude workflow

The Medux operation and request fields are shared. Switch tabs for the client-specific prompt, approval pattern, screenshots, and walkthrough.

Codex-specific workflow

Run AI Text to Image as a Codex MCP task

Use the active workspace as the source of truth. Ask Codex to identify the visual prompt and supported image settings, select medux_text_to_image, and keep the Medux task ID and returned output with the rest of the project. Naming the input roles and the expected result prevents an agent from guessing which file should be used where.

Codex prompt pattern

In this workspace, use medux_text_to_image through Medux MCP to generate an image from text.
First inspect and identify the visual prompt and supported image settings.
Show me the exact tool arguments before execution.
After the task completes, return the generated image and verify that the image follows the prompt and uses the requested size and format.

Approval gate

Before approving the call, compare the selected tool, file or asset IDs, ordering, timing, and output settings with the request. If a local filename was mapped to an uploaded Medux file ID, keep that mapping visible so it can be audited later.

Result verification

Let Codex monitor an asynchronous task until it reaches a terminal state, then save or report the generated image. The final check is explicit: confirm that the image follows the prompt and uses the requested size and format.

What this tutorial does

Medux operation

Generate an image from a text prompt.

Agent workflow

Codex selects medux_text_to_image, presents the arguments for review, calls Medux, and reports the response.

Before you start

Authentication

Authentication is required via Authorization header.

Preconditions

Requires a valid Authorization header and the configured request body.
Successful requests return a Medux task record immediately. Use the task query or sync endpoints to track completion.

Prompt Codex

Start with a clear instruction that names the Medux operation and the intended inputs.

Generate an image from a text prompt.

Request fields to review

Confirm these values before approving the MCP tool call. The linked API page remains the source of truth for current limits and response semantics.

Field	Type	Requirement	Purpose
`prompt`	string	Required	Prompt text used to generate the image.
`negative_prompt`	string	Optional	Optional negative prompt.
`height`	integer	Optional	Output image height. Default: 1024.
`width`	integer	Optional	Output image width. Default: 1024.
`seed`	integer	Optional	Random seed. Use -1 to auto-generate. Default: -1.
`num_inference_steps`	integer	Optional	Number of inference steps. Default: 9.
`guidance_scale`	number	Optional	Guidance scale. Default: 0.0.
`cfg_normalization`	boolean	Optional	Whether to enable CFG normalization. Default: false.
`cfg_truncation`	number	Optional	CFG truncation value. Default: 1.0.
`max_sequence_length`	integer	Optional	Maximum text sequence length. Default: 512.
`model_id`	string	Optional	Text-to-image model id. Default: text-to-image-default.
`title`	string	Optional	Optional task title.

Step-by-step workflow

Connect Medux MCP to Codex

Add the Medux remote MCP endpoint to Codex, provide an authorized credential, and confirm that the medux_text_to_image tool is available.

Prepare the required inputs

Prepare the source files, asset IDs, text, or settings required by the operation. Upload local media first when the tool requests file IDs.

Ask Codex to run Create Text to Image

Use one direct instruction with the intended values. Codex should select the Medux tool and show the proposed arguments before execution.

Review and approve the tool call

Check that the tool is medux_text_to_image and that each file ID, task ID, option, and output setting matches your request before approving it.

Check the Medux response

If Medux returns an asynchronous task, let the agent monitor it until completion; otherwise review the immediate response and save any result identifiers or output URLs.

Workflow recap

User goal
  ↓
Codex selects medux_text_to_image
  ↓
Review inputs and approve the tool call
  ↓
Medux runs Create Text to Image
  ↓
Codex reports the response and output

Frequently asked questions

Can Codex use the Medux Create Text to Image API through MCP?

Codex can call the medux_text_to_image Medux MCP tool to generate an image from a text prompt. This guide covers the required inputs, approval flow, result handling, and the matching API reference.

Which MCP tool does this tutorial use?

This workflow uses medux_text_to_image. Review its arguments before approval and consult the API reference for the current contract.

Claude-specific workflow

Run AI Text to Image as a Claude MCP workflow

Keep the goal, source assets, and constraints together in the conversation. Ask Claude to restate the visual prompt and supported image settings before proposing medux_text_to_image. That context checkpoint makes the file roles and desired outcome easy to correct before any Medux call is approved.

Claude prompt pattern

Using the assets and requirements in this conversation, help me generate an image from text with Medux MCP.
Restate which input fulfills each role: the visual prompt and supported image settings.
Propose the medux_text_to_image call and summarize its arguments before asking for approval.
When it finishes, return the generated image with a checklist confirming that the image follows the prompt and uses the requested size and format.

Context checkpoint

Have Claude summarize the intended transformation, identify every source asset by role, and list the important constraints. Review that summary together with the proposed tool arguments; correct the conversation first if a file, order, time range, or setting is ambiguous.

Result verification

Keep the Medux task ID in the conversation while Claude checks progress. When processing ends, ask for the generated image plus a concise validation checklist confirming that the image follows the prompt and uses the requested size and format.

What this tutorial does

Medux operation

Generate an image from a text prompt.

Agent workflow

Claude selects medux_text_to_image, presents the arguments for review, calls Medux, and reports the response.

Before you start

Authentication

Authentication is required via Authorization header.

Preconditions

Requires a valid Authorization header and the configured request body.
Successful requests return a Medux task record immediately. Use the task query or sync endpoints to track completion.

Prompt Claude

Start with a clear instruction that names the Medux operation and the intended inputs.

Generate an image from a text prompt.

Request fields to review

Confirm these values before approving the MCP tool call. The linked API page remains the source of truth for current limits and response semantics.

Field	Type	Requirement	Purpose
`prompt`	string	Required	Prompt text used to generate the image.
`negative_prompt`	string	Optional	Optional negative prompt.
`height`	integer	Optional	Output image height. Default: 1024.
`width`	integer	Optional	Output image width. Default: 1024.
`seed`	integer	Optional	Random seed. Use -1 to auto-generate. Default: -1.
`num_inference_steps`	integer	Optional	Number of inference steps. Default: 9.
`guidance_scale`	number	Optional	Guidance scale. Default: 0.0.
`cfg_normalization`	boolean	Optional	Whether to enable CFG normalization. Default: false.
`cfg_truncation`	number	Optional	CFG truncation value. Default: 1.0.
`max_sequence_length`	integer	Optional	Maximum text sequence length. Default: 512.
`model_id`	string	Optional	Text-to-image model id. Default: text-to-image-default.
`title`	string	Optional	Optional task title.

Step-by-step workflow

Connect Medux MCP to Claude

Add the Medux remote MCP endpoint to Claude, provide an authorized credential, and confirm that the medux_text_to_image tool is available.

Prepare the required inputs

Prepare the source files, asset IDs, text, or settings required by the operation. Upload local media first when the tool requests file IDs.

Ask Claude to run Create Text to Image

Use one direct instruction with the intended values. Claude should select the Medux tool and show the proposed arguments before execution.

Review and approve the tool call

Check that the tool is medux_text_to_image and that each file ID, task ID, option, and output setting matches your request before approving it.

Check the Medux response

If Medux returns an asynchronous task, let the agent monitor it until completion; otherwise review the immediate response and save any result identifiers or output URLs.

Workflow recap

User goal
  ↓
Claude selects medux_text_to_image
  ↓
Review inputs and approve the tool call
  ↓
Medux runs Create Text to Image
  ↓
Claude reports the response and output

Frequently asked questions

Can Claude use the Medux Create Text to Image API through MCP?

Claude can call the medux_text_to_image Medux MCP tool to generate an image from a text prompt. This guide covers the required inputs, approval flow, result handling, and the matching API reference.

Which MCP tool does this tutorial use?

This workflow uses medux_text_to_image. Review its arguments before approval and consult the API reference for the current contract.

Quick answer

How do I generate an image from text with Medux MCP?

Connect either Codex or Claude to Medux MCP, prepare the required inputs, review the proposed medux_text_to_image call, and verify the returned result. The tabs above keep client-specific prompting on one canonical page.

Can I use the same Medux tool in Codex and Claude?

Yes. The client interaction differs, but both use the same Medux MCP tool and API request contract shown in this tutorial.

Related developer intent

Use AI agents to generate an image from text

This tutorial addresses developer workflows for text-to-image API and AI image generation with MCP by making the task repeatable through the Medux API. Codex or Claude can prepare inputs, show the MCP tool arguments for approval, monitor processing, and return an output that can be checked against the original request.

This capability can feed an image-to-video AI pipeline by preparing the source image, preserving the intended subject, and passing an approved asset into a photo-to-video or AI image-animation workflow.

Use the Medux image-to-video AI workflow Generate MiniMax H3 image-to-video Continue with AI avatar lip sync

Can Codex or Claude generate an image from text through Medux MCP?

Yes. Use the client-specific tab above to prepare the inputs, review the Medux tool call, run the operation, and verify the returned result. The linked API reference remains the source of truth for supported fields and limits.

Production, trust, and developer intent

Run an async, agent-ready workflow to generate an image from text

Use Medux as an AI media API for developers when you need to generate an image from text from Codex or Claude. The production pattern is submit, keep the task ID, poll status, fetch the result, and verify the output; it supports asynchronous video generation and multi-model media orchestration without hiding model-specific limits.

Before commercial use, verify source rights, the selected model terms, output licensing, brand approvals, and any required disclosure. This is a commercial-use review workflow, not a blanket commercial license.

Should an AI generation API use task polling or a webhook?

This Medux tutorial demonstrates task polling. Use a webhook only when the current API reference explicitly documents callback delivery, authentication, and retry behavior.

Build with the API

API reference and official examples

Create Text to Image API referenceCurrent request fields, response data, limits, and examples.
Official Codex workflow exampleClient-specific prompt, approval, and result-verification example.
Official Claude workflow exampleClient-specific prompt, approval, and result-verification example.