Browse ModelsX AIX AI Grok Imagine Image Quality Text To Image

X Ai Grok Imagine Image Quality Text To Image

X Ai Grok Imagine Image Quality Text To Image

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xAI Grok Imagine Image Quality Text to Image is a fast AI image generation model that creates high-quality images from text prompts using a dedicated RunPod workflow. Ready-to-use REST inference API for creative design, concept art, marketing visuals, product mockups, social media content, and professional AI image generation workflows with simple integration, no coldstarts, and affordable pricing.

Features

xAI Grok Imagine Image Quality Text-to-Image

xAI Grok Imagine Image Quality Text-to-Image generates high-quality images from text prompts with support for multiple aspect ratios, two resolution tiers, selectable output formats, and multi-image generation in a single request. It is suitable for concept art, marketing creatives, social media visuals, product imagery, and other prompt-driven image generation workflows.


Why Choose This?

  • High-quality text-to-image generation Turn natural-language prompts into polished visual outputs.

  • Flexible aspect ratios Choose from common preset aspect ratios for social, editorial, and widescreen content.

  • Two resolution tiers Select 1k or 2k depending on your quality and budget needs.

  • Multiple image generation Generate up to 4 images in one request with num_images.

  • Multiple output formats Export results as jpeg, png, or webp.

  • Simple pricing Pricing depends only on resolution and num_images.


Parameters

ParameterRequiredDescription
promptYesText prompt describing the image you want to generate.
aspect_ratioNoOutput aspect ratio. Supported values: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3. Default: 1:1.
resolutionNoOutput resolution tier: 1k or 2k. Default: 1k.
num_imagesNoNumber of images to generate. Range: 1–4. Default: 1.
output_formatNoOutput image format: jpeg, png, or webp. Default: jpeg.

How to Use

  1. Write your prompt — describe the subject, style, lighting, composition, and mood you want.
  2. Choose aspect ratio — select the format that best fits your use case.
  3. Choose resolution — use 1k for lower cost or 2k for higher-quality output.
  4. Set number of images — choose how many images you want to generate, from 1 to 4.
  5. Choose output format — select jpeg, png, or webp.
  6. Submit — run the model and download the generated images.

Example Prompt

A futuristic city street at night, neon reflections on wet pavement, cinematic lighting, ultra-detailed, high contrast, atmospheric sci-fi mood


Pricing

Pricing is based on resolution and num_images.

Per Image

ResolutionCost per Image
1k$0.06
2k$0.08

Example Costs

Resolution1 Image2 Images3 Images4 Images
1k$0.06$0.12$0.18$0.24
2k$0.08$0.16$0.24$0.32

Billing Rules

  • 1k costs $0.06 per image
  • 2k costs $0.08 per image
  • Total price = per-image price × num_images
  • aspect_ratio and output_format do not affect pricing

Best Use Cases

  • Concept art — Generate visual ideas and creative directions from text.
  • Marketing creatives — Produce ad visuals, banners, and campaign imagery.
  • Social media content — Create prompt-driven images for posts and promotional content.
  • Product and brand visuals — Generate polished imagery for presentations and ideation.
  • Rapid iteration — Use num_images to explore multiple variations in a single run.

Pro Tips

  • Be specific in your prompt about subject, background, lighting, and style.
  • Use 1k for quick iteration and 2k for higher-quality final outputs.
  • Increase num_images when you want multiple variations from the same prompt.
  • Use png when image quality matters more than file size.
  • Short, focused prompts often produce more controllable results than overly long descriptions.

Notes

  • prompt is the only required field.
  • num_images supports values from 1 to 4.
  • aspect_ratio defaults to 1:1.
  • resolution defaults to 1k.
  • output_format defaults to jpeg.
  • Pricing depends only on resolution and num_images.

  • Other xAI image generation models may be useful when you need different quality, style, or workflow trade-offs.

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/x-ai/grok-imagine-image-quality/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "num_images": 1,
    "output_format": "jpeg",
    "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 prompt for image generation or editing.
aspect_ratiostringNo1:11:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3Aspect ratio of the generated image.
resolutionstringNo1k1k, 2kOutput resolution tier.
num_imagesintegerNo11 ~ 4Number of images to generate. Range: 1-4.
output_formatstringNojpegjpeg, png, webpOutput image format.
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.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 images.
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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