Generate high-quality images, posters, and logos with Ideogram latest V4.0 — producing crisp visuals with accurate text rendering, fine detail, and full creative control for polished, ready-to-use designs.
Join the Discord community for the latest model updates, prompts, and support.
Elke uitvoering kost $0.008. Voor $10 kunt u ongeveer 1250 keer uitvoeren.
U kunt doorgaan met:
import requests
import time
# Step 1: Start image generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "ideogram/v4/turbo/text-to-image", # Required. model name
"prompt": "A beautiful landscape with mountains and lake", # Required. Text description of the image to generate
"image_size": "landscape_16_9", # Output image size preset. options: square_hd | square | portrait_3_4 | portrait_9_16 | landscape_4_3 | landscape_16_9
"output_format": "jpeg", # File format of the generated image. options: jpeg | png
"seed": 0, # Random seed for reproducibility. (min: 0)
}
generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]
# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
def check_status():
while True:
response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
result = response.json()
if result["data"]["status"] == "completed":
print("Generated image:", result["data"]["outputs"][0])
return result["data"]["outputs"][0]
elif result["data"]["status"] == "failed":
raise Exception(result["data"]["error"] or "Generation failed")
else:
# Still processing, wait 2 seconds
time.sleep(2)
image_url = check_status()Installeer het vereiste pakket voor uw programmeertaal.
pip install requestsAlle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.
export ATLASCLOUD_API_KEY="your-api-key-here"import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "your-model",
"prompt": "A beautiful landscape"
}
response = requests.post(url, headers=headers, json=data)
print(response.json())Dien een asynchroon generatieverzoek in. De API retourneert een voorspellings-ID waarmee u de status kunt controleren en het resultaat kunt ophalen.
/api/v1/model/generateImageimport requests
url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "ideogram/v4/turbo/text-to-image",
"prompt": "A beautiful landscape with mountains and lake"
}
response = requests.post(url, headers=headers, json=data)
result = response.json()
print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}"){
"code": 200,
"data": {
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}
}Bevraag het voorspellings-eindpunt om de huidige status van uw verzoek te controleren.
/api/v1/model/prediction/{prediction_id}import requests
import time
prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }
while True:
response = requests.get(url, headers=headers)
result = response.json()
status = result["data"]["status"]
print(f"Status: {status}")
if status in ["completed", "succeeded"]:
output_url = result["data"]["outputs"][0]
print(f"Output URL: {output_url}")
break
elif status == "failed":
print(f"Error: {result['data'].get('error', 'Unknown')}")
break
time.sleep(3)processingHet verzoek wordt nog verwerkt.completedDe generatie is voltooid. Resultaten zijn beschikbaar.succeededDe generatie is geslaagd. Resultaten zijn beschikbaar.failedDe generatie is mislukt. Controleer het foutveld.{
"data": {
"id": "pred_abc123",
"status": "completed",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.png"
],
"metrics": {
"predict_time": 8.3
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}
}Upload bestanden naar Atlas Cloud opslag en ontvang een URL die u kunt gebruiken in uw API-verzoeken. Gebruik multipart/form-data om te uploaden.
/api/v1/model/uploadMediaimport requests
url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }
with open("image.png", "rb") as f:
files = {"file": ("image.png", f, "image/png")}
response = requests.post(url, headers=headers, files=files)
result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}"){
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}De volgende parameters worden geaccepteerd in de verzoekinhoud.
{
"model": "ideogram/v4/turbo/text-to-image",
"prompt": "A beautiful landscape",
"image_size": "landscape_16_9",
"output_format": "jpeg"
}De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.
{
"id": "pred_abc123",
"status": "completed",
"model": "model-name",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.png"
],
"metrics": {
"predict_time": 8.3
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}Atlas Cloud Skills integreert meer dan 400 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.
npx skills add AtlasCloudAI/atlas-cloud-skillsHaal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.
export ATLASCLOUD_API_KEY="your-api-key-here"Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.
De Atlas Cloud MCP-server verbindt uw IDE met meer dan 400 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.
npx -y atlascloud-mcpVoeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}{
"info": {
"description": "The AtlasCloud API.",
"title": "AtlasCloud API",
"version": "1.0.0"
},
"paths": {
"/api/v1/model/generateImage": {
"post": {
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/PredictionResponse"
}
}
},
"description": "The request status."
}
},
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Input"
}
}
}
}
},
"x-api-name": "model_run"
},
"/api/v1/model/prediction/{request_id}": {
"get": {
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/PredictionResponse"
}
}
},
"description": "Result of the request."
}
},
"parameters": [
{
"in": "path",
"name": "request_id",
"schema": {
"type": "string",
"description": "Request ID"
},
"required": true
}
]
},
"x-api-name": "model_result"
}
},
"openapi": "3.0.0",
"servers": [
{
"url": "https://api.atlascloud.ai"
}
],
"components": {
"schemas": {
"Input": {
"properties": {
"model": {
"type": "string",
"description": "model name",
"default": "ideogram/v4/turbo/text-to-image"
},
"prompt": {
"description": "Text description of the image to generate. Maximum 2,000 characters.",
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"image_size": {
"description": "Output image size preset.",
"type": "string",
"x-atlas": {
"max_width": 3840,
"min_height": 512,
"min_width": 512,
"max_height": 3840,
"multiple_of": 16
},
"default": "landscape_16_9",
"enum": [
"square_hd",
"square",
"portrait_3_4",
"portrait_9_16",
"landscape_4_3",
"landscape_16_9"
],
"x-ui-component": "select",
"x-enum-labels": {
"square_hd": "Square HD (1024×1024)",
"square": "Square (512×512)",
"portrait_3_4": "Portrait 3:4",
"portrait_9_16": "Portrait 9:16",
"landscape_4_3": "Landscape 4:3",
"landscape_16_9": "Landscape 16:9"
}
},
"output_format": {
"description": "File format of the generated image.",
"type": "string",
"default": "jpeg",
"enum": [
"jpeg",
"png"
],
"x-ui-component": "select"
},
"seed": {
"description": "Random seed for reproducibility. Use the same seed and prompt to reproduce results.",
"type": "integer",
"minimum": 0
}
},
"required": [
"model",
"prompt"
],
"type": "object",
"x-order-properties": [
"model",
"prompt",
"image_size",
"output_format",
"seed"
]
},
"PredictionResponse": {
"properties": {
"model": {
"type": "string",
"description": "model name",
"default": "ideogram/v4/turbo/text-to-image"
},
"created_at": {
"description": "ISO timestamp of when the request was created (e.g., \"2023-04-01T12:34:56.789Z\").",
"format": "date-time",
"type": "string"
},
"id": {
"description": "Unique identifier for the prediction.",
"type": "string"
},
"outputs": {
"description": "Array of URLs to the generated images. Null when status is not completed.",
"items": {
"type": "string"
},
"nullable": true,
"type": "array"
},
"status": {
"description": "Status of the task: created, processing, completed, or failed.",
"type": "string"
},
"urls": {
"description": "Object containing related API endpoints.",
"type": "object"
}
},
"type": "object"
}
},
"securitySchemes": {
"apiKeyAuth": {
"in": "header",
"name": "Authorization",
"type": "apiKey"
}
}
}
}# ideogram/v4/turbo/text-to-image
> Generate high-quality images, posters, and logos with Ideogram latest V4.0 — producing crisp visuals with accurate text rendering, fine detail, and full creative control for polished, ready-to-use designs.
## Overview
- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `ideogram/v4/turbo/text-to-image`
## API Information
This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.
### Input Schema
The API accepts the following input parameters:
- **`model`** (`string`, _required_):
model name
- Default: `"ideogram/v4/turbo/text-to-image"`
- **`prompt`** (`string`, _required_):
Text description of the image to generate. Maximum 2,000 characters.
- **`image_size`** (`string`, _optional_):
Output image size preset.
- Default: `"landscape_16_9"`
- Options: "square_hd", "square", "portrait_3_4", "portrait_9_16", "landscape_4_3", "landscape_16_9"
- **`output_format`** (`string`, _optional_):
File format of the generated image.
- Default: `"jpeg"`
- Options: "jpeg", "png"
- **`seed`** (`integer`, _optional_):
Random seed for reproducibility. Use the same seed and prompt to reproduce results.
- Min: 0
**Required Parameters Example**:
```json
{
"model": "ideogram/v4/turbo/text-to-image",
"prompt": ""
}
```
**Full Example**:
```json
{
"model": "ideogram/v4/turbo/text-to-image",
"prompt": "",
"image_size": "landscape_16_9",
"output_format": "jpeg",
"seed": 0
}
```
### Output Schema
The API returns the following output format:
- **`model`** (`string`, _optional_):
model name
- Default: `"ideogram/v4/turbo/text-to-image"`
- **`created_at`** (`string`, _optional_):
ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").
- **`id`** (`string`, _optional_):
Unique identifier for the prediction.
- **`outputs`** (`array[string]`, _optional_):
Array of URLs to the generated images. Null when status is not completed.
- **`status`** (`string`, _optional_):
Status of the task: created, processing, completed, or failed.
- **`urls`** (`object`, _optional_):
Object containing related API endpoints.
**Example Response**:
```json
{
"model": "ideogram/v4/turbo/text-to-image",
"created_at": "",
"id": "",
"outputs": [
""
],
"status": "",
"urls": {}
}
```
## Usage Examples
### cURL
```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
-H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "ideogram/v4/turbo/text-to-image",
"prompt": "",
"image_size": "landscape_16_9",
"output_format": "jpeg",
"seed": 0
}'
# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}
# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
-H "Authorization: Bearer $ATLASCLOUD_API_KEY"
# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```
## Additional Resources
### Documentation
- [Model Playground](https://www.atlascloud.ai/models/ideogram/v4/turbo/text-to-image)
Endless tea terraces stretch across mist-covered mountains at dawn. Soft sunlight illuminates emerald-green rows while low clouds drift gracefully between the hills. Peaceful cinematic landscape, ultra realistic.
Endless tea terraces stretch across mist-covered mountains at dawn. Soft sunlight illuminates emerald-green rows while low clouds drift gracefully between the hills. Peaceful cinematic landscape, ultra realistic.
Endless lavender fields flow across rolling hills beneath a dramatic evening sky. A narrow path winds through the flowers toward a distant stone cottage. Romantic countryside, cinematic landscape.
Endless lavender fields flow across rolling hills beneath a dramatic evening sky. A narrow path winds through the flowers toward a distant stone cottage. Romantic countryside, cinematic landscape.