Ideogram
ideogram-ai/ideogram/custom-models/generateIdeogram Custom Models Generate is ideogram-ai's advanced text-to-image AI model. Create photorealistic images, illustrations, and concept art from natural language descriptions with exceptional detail and prompt adherence.
- Base price
- $0.06USD / run
- Execution
- async
- Model type
- image
- Input fields
- 5
Try the model
Playground
Your output will appear here
Complete the inputs, then click Run.
Model card
Specifications
Pricing
- Base price
- $0.06 / run
Context & modalities
- Input
- Schema-defined
- Output
- image
Capabilities
- Chat
- Not supported
- Vision
- Not supported
- Reasoning
- Not supported
- Structured output
- Not supported
- Function calling
- Not supported
- Audio input
- Not supported
Access
- Provider
- ideogram-ai
- Model ID
- ideogram-ai/ideogram/custom-models/generate
- Execution
- async
- Base URL
- https://api.sandbase.ai
- API
- Unified Run API
- Endpoint
- /v1/run
API README
Ideogram Custom Models Generate
generate in the Ideogram lineup is built to generate fresh scenes through a trained custom visual identity. The ideogram custom models generate configuration combines that transformation with the quality and motion profile represented by this exact model version, so teams can choose it deliberately among adjacent family variants. It is useful when the input already establishes part of the creative intent and the model must supply a polished result rather than a generic media conversion, with subject identity, scene logic, visual hierarchy, and the delivery goal kept explicit.
For production work with ideogram-ai/ideogram/custom-models/generate, begin with the non-negotiable content, then describe the desired change, framing, action, atmosphere, and finishing cues in that order. Separate what must remain recognizable from what may vary, and prefer concrete nouns and observable actions over abstract praise. That structure makes outputs easier to compare across storyboard passes, campaign variants, catalog assets, and other repeatable creative pipelines.
Highlights
Custom visual identity. Generates fresh scenes through a trained subject or style rather than prompt description alone.
Consistent recurring assets. Carries recognizable character, product, or brand traits across new compositions.
Prompt-directed variation. Changes setting, pose, framing, and atmosphere while the custom model supplies learned identity.
ideogram custom models generate campaign-scale continuity. Supports families of related visuals that need one shared look across placements. This is the defining creative strength of the ideogram custom models generate configuration.
Pricing
| Quality | Price per image |
|---|---|
| TURBO | $0.030 |
| BALANCED | $0.060 |
| QUALITY | $0.090 |
Billing follows params.quality == "TURBO" ? 0.03 : params.quality == "BALANCED" ? 0.06 : params.quality == "QUALITY" ? 0.09 : 0.06.
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"aspect_ratio": "21:9",
"prompt": "A photo in my custom style"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | ideogram-ai/ideogram/custom-models/generate |
| Inputs | aspect_ratio, model_id, prompt, rendering_speed, seed |
| Required inputs | prompt |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
Related Models
Start building
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/run" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "ideogram-ai/ideogram/custom-models/generate",
"prompt": "A photo in my custom style",
"rendering_speed": "BALANCED"
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
status=$(printf '%s' "$result" | jq -r .status)
case "$status" in completed|failed|timeout) break ;; esac
sleep 2
result=$(curl --fail-with-body --silent \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
"https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"Choose your model
Compare models
| Model | Type | Default price | Released |
|---|---|---|---|
IdeogramThis model ideogram-ai | Image | $0.06 / run | Apr 22, 2026 |
Ideogram | Image | $0.06 / run | May 1, 2025 |
Ideogram | Image | $0.06 / run | May 1, 2025 |
Questions
FAQ
How do I call ideogram-ai Ideogram through SandBase?
Create a SandBase API key, then send requests with the model ID "ideogram-ai/ideogram/custom-models/generate" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.
Do I need a separate ideogram-ai account?
No. One SandBase API key and balance gives you access to ideogram-ai Ideogram and the other models in the catalog; you do not need to sign up with ideogram-ai separately.