OpenAI GPT Image 1 High-Fidelity produces photorealistic, high-detail images for creative and production workflows, delivering improved texture and color fidelity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.167per run·~59 / $10
ExamplesView all
A portrait of a woman in 1990s fashion, sitting in a retro diner, neon lights in the background, captured on a vintage film camera.
A transparent crystal deer with a shimmering galaxy flowing inside its body, drinking from a glowing stream in an enchanted forest, double exposure style, poetic.
A lone astronaut sitting on the edge of a cliff on an alien planet, gazing at a distant twin galaxy and beautiful nebula, the starry sky reflected in the helmet's visor, a sense of tranquility and cosmic vastness, sci-fi movie still, 4K.
A white-haired elf queen in a starry robe, standing on a giant glowing mushroom in an ancient forest, magical runes and fireflies floating in the air, moonlight filtering through the canopy, dreamy, mysterious, epic, hyperdetailed.
A giant, broken plaster face sculpture submerged underwater, surrounded by colorful coral and glowing jellyfish, light rays penetrating the water surface creating divine beams, surrealism, serene and melancholic.
A cute cat wearing a small straw hat, sitting next to a basket of freshly baked bread, sunlight from the window shines on its fluffy fur, cozy country kitchen in the background, Studio Ghibli anime style, warm and healing.
Tuscan fields at dusk, rolling hills covered in golden wheat, cypress trees and an old stone farmhouse in the distance, the sunset casting a warm red glow across the sky, warm, healing, landscape photography, golden hour.
A vintage-style photo of a group of friends laughing at a picnic in the park, warm tones, film grain, nostalgic feeling, reminiscent of the 1970s.
A dramatic black and white headshot of an elderly man with deep wrinkles, his eyes telling a story, high contrast lighting.
A close-up portrait of a young woman with freckles, smiling gently, soft natural light, shallow depth of field, detailed skin texture.
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README
OpenAI GPT-Image-1 High Fidelity
Generate stunning, photorealistic images with OpenAI's GPT-Image-1 in high fidelity mode. This premium text-to-image model excels at creating detailed, nuanced visuals with exceptional quality — from vintage film aesthetics to modern photography styles.
Looking for a more affordable option? Try GPT-Image-1 Standard for budget-friendly generation.
Why It Looks Great
- High fidelity output: Maximum quality setting delivers exceptional detail and clarity.
- Superior prompt understanding: OpenAI's advanced language model accurately interprets complex, nuanced descriptions.
- Photorealistic excellence: Excels at realistic portraits, scenes, and photography-style images.
- Style versatility: Captures specific aesthetics — vintage film, neon lighting, retro vibes, modern digital.
- Prompt Enhancer: Built-in tool to refine and expand your descriptions automatically.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
How to Use
- Write your prompt — describe your image with details about subject, style, lighting, and atmosphere.
- Use Prompt Enhancer (optional) — click to automatically enrich your description.
- Run — click the button to generate.
- Download — preview and save your high-fidelity image.
Pricing
Flat rate per image generation.
| Output | Cost |
|---|---|
| Per image | $0.167 |
Best Use Cases
- Portrait Photography — Create stunning, realistic portraits with specific era aesthetics.
- Commercial & Advertising — Generate high-quality visuals for campaigns and marketing.
- Concept Art — Visualize detailed scenes and environments with photorealistic quality.
- Editorial & Fashion — Produce magazine-worthy imagery with specific style directions.
- Nostalgic & Vintage Content — Capture retro aesthetics like film photography, neon-lit scenes, and period styles.
Example Prompts
- "A portrait of a woman in 1990s fashion, sitting in a retro diner, neon lights in the background, captured on a vintage film camera"
- "Professional headshot of a business executive, soft studio lighting, neutral background, corporate photography style"
- "Cinematic scene of a rainy Tokyo street at night, reflections on wet pavement, neon signs, Blade Runner aesthetic"
- "Food photography of an artisan coffee and pastry, morning light through a window, shallow depth of field"
- "Fashion editorial shot of a model in avant-garde clothing, dramatic shadows, high contrast black and white"
Pro Tips for Best Results
- Include era and style references — "1990s fashion", "vintage film camera", "retro diner".
- Specify lighting conditions — "neon lights", "soft studio lighting", "golden hour".
- Mention photography techniques — "shallow depth of field", "high contrast", "film grain".
- Describe the mood and atmosphere for more evocative results.
- Use the Prompt Enhancer to add professional photography terminology to simple ideas.
- For portraits, include details about expression, pose, and background.
Notes
- High Fidelity mode prioritizes quality over speed — ideal for final deliverables.
- Processing time may vary based on prompt complexity and queue load.
- For rapid iteration or testing, consider the standard GPT-Image-1 variant.
Gpt Image 1 High Fidelity API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/gpt-image-1-high-fidelity 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 Gpt Image 1 High Fidelity below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/openai/gpt-image-1-high-fidelity" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}'
# 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("openai/gpt-image-1-high-fidelity", {
"prompt": "A cinematic shot of a city at sunset, soft golden light"
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"openai/gpt-image-1-high-fidelity",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)
print(output["outputs"][0]) # → URL of the generated outputGpt Image 1 High Fidelity API — Frequently asked questions
What is the Gpt Image 1 High Fidelity API?
Gpt Image 1 High Fidelity is a OpenAI model for image generation, exposed as a REST API on WaveSpeedAI. OpenAI GPT Image 1 High-Fidelity produces photorealistic, high-detail images for creative and production workflows, delivering improved texture and color fidelity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Gpt Image 1 High Fidelity 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/openai/openai-gpt-image-1-high-fidelity.
How much does Gpt Image 1 High Fidelity cost per run?
Gpt Image 1 High Fidelity starts at $0.17 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 Gpt Image 1 High Fidelity accept?
Key inputs: `prompt`. 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/openai/openai-gpt-image-1-high-fidelity.
How long does Gpt Image 1 High Fidelity take to generate?
Average end-to-end generation time on WaveSpeedAI is around 51 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Gpt Image 1 High Fidelity outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.