curl --request POST "https://gptproto.com/v1/images/edits" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "grok-imagine-image",
"image": "https://tos.gptproto.com/resource/cat.png",
"prompt": "Put a hat on the cat"
}'Start from the cost of a single sample and pick a testing budget. GPTProto rates are 40% below list price.
GPTProto · Price est.
Estimated from the rate card. Final charges may vary.No extra settings
Top up
GPTProto vs official pricing.Save$66.66 (40%)vs Grok official
| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
 | $0.01 per time | — | Input: TextInput: Image Output: Image | |
| $0.04 per time | 1K · 2K | Input: TextInput: Image Output: Image | ||
| $0.02 per time | 1K | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $6.40 / $24.00 per 1M | — | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.02 per time | — | Input: TextInput: Image Output: Image | ||
| $5.60 / $22.40 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.14 per time | — | Input: Text Output: Image | |
| $0.04 per time | — | Input: Text Output: Image | ||
| $1.75 / $5.60 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.01 per time | — | Input: Image Output: Image | |
| — | $0.02 per time | — | Input: Image Output: Image | |
| $0.04 per time | — | Input: Text Output: Image | ||
| $0.03 per time | — | Input: Text Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Text Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image |
Creative Mastery with grok/grok-imagine-image on GPT Proto
Unlock the next generation of visual storytelling with grok/grok-imagine-image, xAI's most advanced image synthesis engine. Experience seamless integration and reliable performance when you deploy grok/grok-imagine-image on GPT Proto.
The Creative Bottleneck: Why grok/grok-imagine-image is Necessary
Traditional AI image generators often struggle with two specific areas: multi-turn refinement and semantic adherence. Designers frequently find themselves trapped in a loop of 'regenerate and pray,' hoping the next random seed captures their vision. grok/grok-imagine-image solves this by introducing a robust image-to-image editing framework. Instead of starting from scratch, you can provide an existing asset and use grok/grok-imagine-image to modify specific elements—like changing the lighting of a living room or adding a cat from one image into another—using simple, conversational English. On GPT Proto, we provide the infrastructure to handle these complex multi-image requests with zero latency jitter.
Use Case A: Professional Style Transfer & Branding
For marketing agencies, grok/grok-imagine-image is a definitive tool for rapid prototyping. By utilizing the model's 'Style Transfer' capabilities, users can take a raw product photo and transform it into a pencil sketch, pop art piece, or an anime-style illustration in seconds. My experience shows that grok/grok-imagine-image maintains the structural integrity of the original subject better than most latent diffusion models, making it ideal for maintaining brand consistency across different visual themes.
Use Case B: Iterative Architectural Visualization
Architects use grok/grok-imagine-image to refine interior concepts. You can start with a base prompt for a 'modern minimalist kitchen' and, through successive API calls on GPT Proto, adjust the window size, swap the countertop material, and finally change the time of day to 'golden hour.' This conversational refinement loop is where grok/grok-imagine-image truly outshines static generators.
"The ability of grok/grok-imagine-image to interpret 'spatial relationships' in editing mode represents a significant leap over previous generation CLIP-guided models. It doesn't just change pixels; it understands the scene geometry."
Enterprise-Grade Integration on GPT Proto
Scaling visual production requires more than just a good model; it requires a stable platform. Using grok/grok-imagine-image on GPT Proto grants you access to our optimized API endpoints that support concurrent requests via AsyncClient. This means you can fire dozens of style variations simultaneously without hitting traditional rate-limit walls. For developers, our documentation provides ready-to-use Python and JavaScript snippets tailored for xAI's unique application/json requirement for image edits.
| Feature | Standard Models | grok/grok-imagine-image on GPT Proto |
|---|---|---|
| Max Resolution | 1024px | 2K (Ultra-HD) |
| Editing Mode | Mask-based Inpainting | Natural Language Multi-Turn Editing |
| Batching | Serial only | Concurrent (n=10) via GPT Proto API |
| Output Format | URL only | Direct Base64 or Temporary URL |
Pricing & Transparent Usage
At GPT Proto, we believe in straightforward economics. Usage of grok/grok-imagine-image is billed on a per-image basis, ensuring you only pay for what you generate. We have abolished confusing virtual currencies; to get started, simply Top-up Balance in your account. You can monitor your real-time consumption and manage your Recharge Amount directly from the centralized dashboard. This transparency allows studios to accurately project costs for high-volume campaigns using grok/grok-imagine-image.
Stay updated on the latest visual prompt engineering techniques by visiting the GPT Proto Blog. Whether you are building an AI-powered design tool or automating social media content, grok/grok-imagine-image on GPT Proto provides the fidelity and flexibility required for modern digital excellence.
Everything You Need to Know About grok/grok-imagine-image
Clear answers for developers and creators deploying the grok/grok-imagine-image model on the GPT Proto platform.
What is the maximum resolution for grok/grok-imagine-image?
How do I edit existing photos with grok/grok-imagine-image?
Can grok/grok-imagine-image handle multiple images at once?
Does grok/grok-imagine-image support different aspect ratios?
How are requests for grok/grok-imagine-image billed on GPT Proto?
Is there content moderation for grok/grok-imagine-image?
Can I get Base64 strings from grok/grok-imagine-image?
Does grok/grok-imagine-image work with the OpenAI SDK?
How long do the URLs generated by grok/grok-imagine-image last?
What is the 'auto' aspect ratio in grok/grok-imagine-image?
Can I use grok/grok-imagine-image for style transfer?
Is multi-turn conversation possible with grok/grok-imagine-image?
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