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Z Ai Glm Image Edit

Z Ai Glm Image Edit

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GLM-Image Edit is a powerful image-to-image editing model that transforms images based on text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Z.AI GLM-Image Image-Edit

GLM-Image Image-Edit is Z.AI’s powerful image transformation model that modifies images based on text prompts. Upload up to 4 reference images and describe the changes you want — the model reimagines your images while preserving key elements and applying your requested modifications.


Why Choose This?

  • Multi-image reference Upload up to 4 reference images to guide the transformation with richer context.

  • Text-guided transformation Describe changes in natural language — lighting, style, time of day, environment, and more.

  • Flexible output sizing Custom width and height from 256 to 1536 pixels for any aspect ratio.

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

  • LLM-powered prompt expansion Optional feature to automatically enhance short prompts with more detail.


Parameters

ParameterRequiredDescription
promptYesText description of the desired transformation
imagesYesReference images to transform (1-4 images)
widthNoOutput width in pixels (256-1536, default: 1024)
heightNoOutput height in pixels (256-1536, 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
enable_sync_modeNoAPI only: wait for result before returning response

Output Format Options

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

How to Use

  1. Write your prompt — describe the transformation you want (e.g., “change to daytime”, “add snow”, “make it cyberpunk style”).
  2. Upload reference images — add 1-4 images using ”+ Add Item” button.
  3. Set size — adjust width and height (256-1536 pixels).
  4. Set seed — use -1 for random results, or specify a number for reproducibility.
  5. Choose output format — jpeg for smaller files, png for lossless quality.
  6. Enable prompt expansion (optional) — check this to let LLM enhance your prompt.
  7. 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 number of reference images.


Best Use Cases

  • Lighting Changes — Transform day to night, add golden hour, change weather conditions.
  • Style Transfer — Apply artistic styles while preserving composition.
  • Scene Modification — Add or remove elements, change seasons, modify environments.
  • Creative Reimagining — Generate variations based on multiple reference images.
  • Content Adaptation — Adjust images for different moods or contexts.

Pro Tips

  • Be specific in your transformation prompt — describe exactly what should change.
  • Use multiple reference images when you want to blend styles or elements from different sources.
  • Enable prompt expansion for short prompts; disable it for precise control.
  • Start with default 1024x1024 size, then adjust for specific aspect ratios.
  • Use the same seed to compare different prompts on the same reference images.

Notes

  • Maximum 4 reference images per generation.
  • Size range: 256-1536 pixels for both width and height.
  • enable_sync_mode is only available through the API.
  • Please ensure your prompts comply with content guidelines.

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/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "seed": -1,
    "output_format": "jpeg",
    "enable_prompt_expansion": false,
    "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.
imagesarrayYes[]1 ~ 4 itemsURL(s) of condition image(s) for image-to-image generation. Supports up to 4 URLs.
sizestringNo-256 ~ 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_prompt_expansionbooleanNofalse-Enhance prompt using LLM for better results.
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.
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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