Browse ModelsOpenaiOpenai Gpt Image 1 High Fidelity

Openai Gpt Image 1 High Fidelity

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

ParameterRequiredDescription
promptYesText description of the image you want to generate.

How to Use

  1. Write your prompt — describe your image with details about subject, style, lighting, and atmosphere.
  2. Use Prompt Enhancer (optional) — click to automatically enrich your description.
  3. Run — click the button to generate.
  4. Download — preview and save your high-fidelity image.

Pricing

Flat rate per image generation.

OutputCost
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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
© 2025 WaveSpeedAI. All rights reserved.