GPT Image 1.5 Edit is OpenAI’s image model for precise, natural-language edits. Add/remove objects, swap backgrounds, retouch faces, adjust colors/lighting, edit text/graphics, crop/resize, and apply hex color control. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
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BezczynnyKażde uruchomienie będzie kosztować 0.009. Za $10 możesz uruchomić ten model około 1111 razy.
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Brak dostępnych parametrów.
Przykładowa treść żądania
{
"model": "openai/gpt-image-1.5/edit"
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Zaloguj sięOpenAI GPT Image 1.5 Edit
GPT Image 1.5 Edit is a cost-efficient image editing model powered by OpenAI’s GPT image technology. It enables users to refine, modify, or transform existing images using natural language instructions, while maintaining the original style, composition, and visual integrity.
🌟 Key Features
🧠 Strong Visual Understanding
Understands complex textual instructions and applies targeted edits that match intent and context.
🎨 Intelligent Image Editing
Add, remove, or modify elements in an image with precision — from subtle adjustments to full stylistic transformations.
🖼 Multi-Image Support
Accepts one or more image inputs to guide the edit or style reference process.
💡 Context-Aware Refinement
Preserves the key artistic or photographic features, such as lighting, tone, and pose, while applying changes only where needed.
💰 Efficient and Accessible
Professional-quality visual editing at low cost, ideal for rapid prototyping, design iteration, or creative workflows.
⚙️ Parameters
| Parameter | Description |
|---|---|
prompt* | Describe how you want to edit or modify the image (e.g. “change outfit colors to pastel tones, add neon city lights in the background”) |
images* | Upload one or more reference images (JPG / PNG) to be edited or used as visual input |
quality | Output quality tier: low, medium, or high |
input_fidelity | Allows you to better preserve details from the input images in the output. This is especially useful when using images that contain elements like faces or logos that require accurate preservation in the generated image. |
size | Output size: 1024×1024, 1024×1536, or 1536×1024 |
💡 Example Prompt
Three fashionable young women in a nighttime urban scene, showcasing Y2K and streetwear aesthetics. Each has distinct styling: plaid shirt with ripped jeans, off-shoulder top with retro socks and chunky sneakers, crop top with cowboy boots and accessories. Enhance lighting and color balance for a cinematic look.
🎯 Use Cases
- Product & Fashion Editing — Adjust outfits, lighting, or background for catalog or campaign visuals.
- UI/UX & Brand Design — Apply aesthetic refinements to mockups or visual assets.
- Creative Direction — Evolve photo concepts while preserving original mood and framing.
- Photography & Illustration — Fix, enhance, or restyle images using natural text prompts.
