Google's Gemini 3.0 Pro (Gemini 3.0 Pro Preview) is a cutting-edge text-to-image model enabling high-res 4K image generation optimized for phones. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.14per run·~71 / $10

Macro photography shot. Inside an old, dusty vintage lightbulb, there is a fully functioning, multi-layered steampunk city. Tiny brass gears, steam pipes, and clockwork towers are intricately detailed. Miniature airships float around the filament. The glass of the bulb reflects the room around it (a cluttered inventor's workshop). Shallow depth of field, bokeh background, warm tungsten lighting, hyper-realistic, metallic textures.

Anime still frame, "sakuga" animation style, intense dynamic action shot. A cyber-samurai girl with glowing energy katana clashes mid-air against a massive, multi-limbed biomechanical Oni (demon) atop a crumbling Shibuya 109 building. Explosion debris, broken glass, electrical discharge, and rain streaks are frozen around them. The background is a chaotic, destroyed Neo-Tokyo with thousands of neon signs. Dramatic angles, high detail line work, vibrant color palette, dramatic lighting, 4k resolution.

Wide-angle landscape photograph of a colossal Dyson Sphere mega-structure under construction around a dying blue dwarf star. Millions of geometric solar mirror panels and orbital habitats connected by glowing energy tethers. A massive industrial mining cruiser ship in the foreground shows insane levels of "greeble" (small mechanical details), antennae, and engine exhaust plumes. Harsh sunlight contrasting with deep space shadows. Scale is unimaginable. Hard sci-fi aesthetic, photorealistic, 8k.

Cinematic film still, neo-noir thriller style. A weary detective in a rumpled trench coat stands in a rain-slicked alleyway at night. Heavy atmospheric fog and pouring rain. The only light source is a flickering, broken neon sign in puddles reflecting backward that reads "LAST EXIT". He is crouching, holding a glowing UV light over a cryptic symbol on the wet ground. Long dramatic shadows, high contrast lighting, film grain, wet pavement texture, moody, tense atmosphere.

Found footage style photo, unsettling visceral horror. An abandoned, rotting 1950s kitchen where the walls, appliances, and floor are slowly merging into pulsating, wet organic matter, alien flesh, and black fungi. Too many human-like eyes are blinking embedded in the peeling wallpaper pattern. Slime drips from the ceiling. Low light flashlight beam cutting through dust. The geometry of the room is subtly distorted and impossible. Grotesque, hyper-realistic textures, 4k.
Gemini 3.0 Pro Image (Gemini 3.0 Pro Image Preview) is Google’s lightweight yet powerful AI image generation model, built for creators who need fast, high-quality visuals from simple text prompts. It transforms words into expressive, realistic images with remarkable clarity, composition, and style diversity — all within seconds.
Instant Image Creation Generate beautiful, coherent visuals from just a short text prompt — no design skills required.
Versatile Visual Styles Supports realistic, illustrative, anime, and painterly outputs, adapting naturally to your creative intent.
Accurate Text-to-Scene Understanding Accurately interprets subjects, backgrounds, and object relationships to create contextually correct compositions.
Fast & Efficient Optimized for quick turnaround and minimal compute cost, perfect for rapid prototyping and social content.
Clean, Balanced Lighting Produces visually appealing results without overexposure or unnatural shadows — ideal for portraits, landscapes, and product imagery.
Input: text prompt
Output: high-quality image (JPEG/PNG)
Supports multiple aspect ratios and output format
Compatible with descriptive prompts such as:
“A golden retriever playing in a field of sunflowers at sunset.”
“A futuristic city skyline with neon reflections on wet streets.”
“An elegant still-life photo of coffee and croissants by a window.”
| Resolution | Cost per image |
|---|---|
| 1k | $0.14 |
| 2k | $0.14 |
| 4k | $0.24 |
Please ensure your prompts comply with Google’s Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Compare gemini-3-pro-image T2I with:
FLUX.1 [dev] – Nano Banana Pro Edit focuses on semantic understanding and layout-aware editing via Gemini 3’s reasoning, making it ideal for complex, text-driven transformations without manual masking. FLUX.1 [dev] emphasizes maximum resolution control and fine detail preservation for highly technical workflows.
Stable Diffusion 3.5 – Nano Banana Pro Edit leverages Google’s production-scale multimodal training and advanced reasoning for context-aware edits that understand object relationships and composition. Stable Diffusion 3.5 offers open-source flexibility for custom fine-tuning and local deployment in highly specialized pipelines.
Gpt-Image-1 (OpenAI) – Nano Banana Pro Edit emphasizes layout control, multilingual on-image text, and tightly directed edits for design and marketing workflows, while openai/gpt-image-1 shines as a general-purpose creative generator with strong style variety and fast, natural-language image synthesis for broad consumer and developer use.
Original Nano Banana (Gemini 2.5 Flash Image) – Nano Banana Pro Edit trades pure speed for quality, delivering better reasoning, sharper text, improved character consistency, and richer camera controls at a higher unit cost. Original Nano Banana remains ideal for rapid, low-latency iterations and lightweight edits.
Seedream – Nano Banana Pro Edit is tuned for reliable typography, photo-real edits, and mixed media layouts, while SeeDream excels at fast, stylized T2I generation with strong anime and illustration aesthetics, making it a good choice for heavily stylized concept art.
Qwen Image 2509 – Nano Banana Pro Edit focuses on high-fidelity 4K outputs and multilingual on-image design control, whereas Qwen Image shines in open-source ecosystems and document-style rendering, offering flexible integration for developer-centric and research workflows.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-3-pro-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 Gemini 3 Pro Image Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/gemini-3-pro-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",
"aspect_ratio": "1:1",
"resolution": "1k",
"output_format": "png",
"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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("google/gemini-3-pro-image/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"resolution": "1k",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/gemini-3-pro-image/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"resolution": "1k",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputGemini 3 Pro Image Text To Image is a Google model for image generation, exposed as a REST API on WaveSpeedAI. Google's Gemini 3.0 Pro (Gemini 3.0 Pro Preview) is a cutting-edge text-to-image model enabling high-res 4K image generation optimized for phones. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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/google/google-gemini-3-pro-image-text-to-image.
Gemini 3 Pro Image Text To Image starts at $0.14 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.
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `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/google/google-gemini-3-pro-image-text-to-image.
Average end-to-end generation time on WaveSpeedAI is around 57 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.