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.
Bezczynny
$0.12za uruchomienie·~83 / $10
PrzykładyZobacz wszystkie
Modern premium book cover design, surreal minimalism. A vast midnight ocean under a thin crescent moon; a single origami lighthouse floating upright, emitting a soft golden beam that forms a subtle geometric triangle across the water. Deep navy + charcoal palette with one accent of warm gold, gentle fog, cinematic soft lighting, fine paper-grain texture, high contrast, lots of negative space, perfectly balanced centered composition.
Futuristic eye close-up, glowing reflections in the iris, subtle cyberpunk elements, dark background, ultra-detailed, realistic sci-fi aesthetic, cinematic lighting
Cozy outdoor lifestyle scene with a person holding a small dog, warm and intimate interaction between the person and the pet, natural and relaxed facial expression, soft natural sunlight, park or grassy outdoor background with greenery, warm and gentle color tones, candid and unposed moment, clean composition, shallow depth of field, Fujifilm film look, soft contrast, natural skin tones, lifestyle photography style, realistic lighting, film-like texture, heartwarming atmosphere1,Fujifilm color science, film photography, subtle film grain, soft highlights, muted colors, low contrast, natural greens, pastel tones
Powiązane modele
README
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?
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Strong prompt understanding Accurately interprets detailed prompts to generate images that match your description with high fidelity.
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Flexible sizing Custom width and height controls allow you to create images for any use case — social media, print, web, or mobile.
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Prompt Enhancer Built-in tool to automatically improve your prompts for better generation results.
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Multiple output formats Export as JPEG for smaller file sizes or PNG for lossless quality.
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Fast generation Optimized for quick turnaround, ideal for rapid ideation and creative iteration.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate |
| width | No | Output width in pixels (default: 1024) |
| height | No | Output height in pixels (default: 1024) |
| seed | No | Random seed for reproducibility (-1 for random) |
| output_format | No | Output format: jpeg (default) or png |
| enable_prompt_expansion | No | Enhance 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
- Write your prompt — describe the image including subject, style, lighting, and mood.
- Set size — adjust width and height for your desired dimensions.
- Set seed — use -1 for random results, or specify a number for reproducibility.
- Choose output format — jpeg for smaller files, png for lossless quality.
- Enable prompt expansion (optional) — check this to let LLM enhance your prompt automatically.
- Run — click Run, preview the result, and iterate if needed.
Pricing
| Item | Cost |
|---|---|
| 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.
Related Models
- Z.AI CogView-4 — Z.AI's high-quality text-to-image model with flexible quality modes.
- Qwen Image 2512 — model with exceptional text rendering capabilities.
- FLUX.2 Pro — Flagship-quality generation with cinematic detail.
Glm Image Text To Image API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/z-ai/glm-image/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Glm Image Text To Image below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/z-ai/glm-image/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("z-ai/glm-image/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"z-ai/glm-image/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputGlm Image Text To Image API — Frequently asked questions
What is the Glm Image Text To Image API?
Glm Image Text To Image is a Z Ai model for image generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
How do I call the Glm Image Text To Image API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/z-ai/z-ai-glm-image-text-to-image.
How much does Glm Image Text To Image cost per run?
Glm Image Text To Image starts at $0.12 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Glm Image Text To Image accept?
Key inputs: `prompt`, `size`, `seed`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/z-ai/z-ai-glm-image-text-to-image.
How long does Glm Image Text To Image take to generate?
Average end-to-end generation time on WaveSpeedAI is around 61 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Glm Image Text To Image outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Z Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.