Openai Gpt Image 1 High Fidelity
Playground
Try it 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.
Features
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.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/openai/gpt-image-1-high-fidelity" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |