seedinteger
Seed for the random number generator
ideogram-ai/ideogram-v2/turboIdeogram V2 Turbo 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.
Try the model
Your output will appear here
Complete the inputs, then click Run.
ideogram-ai/ideogram-v2/turbo creates original images from written art direction with a particular strength in typography, graphic composition, and prompt fidelity. Ideogram V2 balances realistic image generation with accurate embedded text, making it effective for posters, packaging concepts, ads, logos, and designed imagery; the Turbo tier prioritizes faster, lower-cost iteration for exploring layouts and visual directions. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.
For production work with ideogram-ai/ideogram-v2/turbo, the workflow fits visual concepts that must combine readable wording with a coherent scene, while style and framing direction can move the result between photography, illustration, and graphic design. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.
Rapid text-to-image synthesis. Converts detailed prompts into reviewable visual concepts with the speed-oriented V2 path.
Fast typography ideation. Explores posters, labels, headlines, and logo-like lettering without waiting for a quality-tier render.
High-volume composition testing. Generates many framing and style alternatives for creative selection at lower cost.
Broad visual range. Retains V2's ability to move among photography, illustration, cinematic imagery, and graphic design.
| Billing unit | Price |
|---|---|
| Per request | $0.05 |
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"aspect_ratio": "16:9",
"prompt": "https://example.com/reference.png"
}
| Spec | Value |
|---|---|
| Model ID | ideogram-ai/ideogram-v2/turbo |
| Inputs | aspect_ratio, prompt, seed |
| Required inputs | prompt |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
Start building
Submit this model through the SandBase Unified Run API.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/run" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "ideogram-ai/ideogram-v2/turbo",
"prompt": "A comic style illustration of a skeleton sitting on a toilet in a bathroom. The bathroom has a Halloween decoration with a pumpkin jack-o-lantern and bats flying around. There is a text above the skeleton that says \"Just Waiting for Halloween with Ideogram 2.0 at fal.ai\"",
"aspect_ratio": "16:9"
}
SANDBASE_JSON
)
run_id=$(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"Create a SandBase API key and set it in your server environment. All requests use Bearer authentication.
export SANDBASE_API_KEY="YOUR_API_KEY"Keep the key on your server. Do not expose it in browser code or commit it to a repository.
POST to /v1/run with this model ID and its inputs. The request example above includes submission and polling.
Use the returned run ID to poll until the status is completed, failed or timeout. Read output only after completed.
curl "https://api.sandbase.ai/v1/run/$RUN_ID" \
-H "Authorization: Bearer $SANDBASE_API_KEY"Pass a publicly accessible file URL in the model’s image, video or audio field. Supported formats and limits are shown beside each Playground input.
Use the upload or replace control on supported image fields in the Playground. Video URL fields accept a hosted driving video; they do not imply video-upload support.
seedintegerSeed for the random number generator
promptstringrequiredaspect_ratiostringThe aspect ratio of the generated image.
Default: "16:9"
Possible values: "21:9", "16:9", "3:2", "4:3", "5:4", "1:1", "4:5", "3:4", "2:3", "9:16"
{
"model": "ideogram-ai/ideogram-v2/turbo",
"prompt": "A comic style illustration of a skeleton sitting on a toilet in a bathroom. The bathroom has a Halloween decoration with a pumpkin jack-o-lantern and bats flying around. There is a text above the skeleton that says \"Just Waiting for Halloween with Ideogram 2.0 at fal.ai\"",
"aspect_ratio": "16:9"
}A completed run exposes its result in output. The following is the model’s saved example, not a new generation.
No example output has been published yet. Use Playground → Result → JSON after a completed run to inspect your response.