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Z Ai Glm Image Text To Image

Z Ai Glm Image Text To Image

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Z-AI GLM Image generates high-quality images from text prompts, with enhanced understanding of user descriptions, resulting in images that are more precise and personal. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

Z.AI GLM-Image Text-to-Image

GLM-Image is Z.AI’s powerful text-to-image generation model built on the GLM architecture. It transforms natural language prompts into high-quality images with strong prompt adherence, flexible sizing, and fast generation speed.


Why Choose This?

  • Strong prompt understanding Accurately interprets detailed prompts to generate images that match your description with high fidelity.

  • Flexible sizing Custom width and height controls allow you to create images for any use case — social media, print, web, or mobile.

  • Prompt Enhancer Built-in tool to automatically improve your prompts for better generation results.

  • Multiple output formats Export as JPEG for smaller file sizes or PNG for lossless quality.

  • Fast generation Optimized for quick turnaround, ideal for rapid ideation and creative iteration.


Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate
widthNoOutput width in pixels (default: 1024)
heightNoOutput height in pixels (default: 1024)
seedNoRandom seed for reproducibility (-1 for random)
output_formatNoOutput format: jpeg (default) or png
enable_prompt_expansionNoEnhance prompt using LLM for better results

Output Format Options

  • jpeg — Smaller file size, good for photos and web use (default)
  • png — Lossless quality, supports transparency, best for graphics

Prompt Expansion

When enabled, the model uses an LLM to automatically expand and enhance your prompt for better generation results. This is useful when you have a short or simple prompt and want the model to add more detail.


How to Use

  1. Write your prompt — describe the image including subject, style, lighting, and mood.
  2. Set size — adjust width and height for your desired dimensions.
  3. Set seed — use -1 for random results, or specify a number for reproducibility.
  4. Choose output format — jpeg for smaller files, png for lossless quality.
  5. Enable prompt expansion (optional) — check this to let LLM enhance your prompt automatically.
  6. Run — click Run, preview the result, and iterate if needed.

Pricing

ItemCost
Per image$0.12

Simple flat-rate pricing regardless of image size or output format.


Best Use Cases

  • Social Media Content — Create engaging visuals for posts, stories, and ads.
  • Marketing Materials — Generate promotional images and banner graphics.
  • Concept Art — Quickly visualize ideas for creative projects.
  • Product Visualization — Create mockups and product imagery.
  • Presentations — Generate visuals to enhance slides and documents.

Pro Tips

  • Be specific in your prompts — include subject, style, lighting, colors, and atmosphere.
  • Use the same seed with the same prompt to reproduce identical outputs.
  • Start with 1024x1024 for balanced quality, adjust dimensions for specific needs.
  • Use JPEG for photos and web content, PNG for graphics with text or transparency needs.
  • Enable prompt expansion for short prompts; disable it if you want precise control over the output.

Notes

  • Please ensure your prompts comply with content guidelines.
  • If an error occurs, review your prompt and try again.

  • Z.AI CogView-4 — Z.AI’s high-quality text-to-image model with flexible quality modes.
  • Qwen Image 2512 — Alibaba’s model with exceptional text rendering capabilities.
  • FLUX.2 Pro — Flagship-quality generation with cinematic detail.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/z-ai/glm-image/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "seed": -1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. This property is only available through the API.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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