I have been testing GPT Image 2 since it launched on imgmov, and honestly, it is the model I reach for when I need text in an image to actually look right. Most AI image models struggle with text, producing gibberish or warped letters that ruin the whole composition. GPT Image 2 is different. At 4 credits per generation, it is the most expensive image model, but for certain use cases, it is the only one that works. This guide covers when to use it, how to get the best results, and when to save your credits and use something else.
What Is GPT Image 2?
GPT Image 2 is OpenAI's state-of-the-art image generation model. It produces high-quality images with strong prompt adherence, excellent text rendering, and sophisticated understanding of complex instructions. It is the premium image model on imgmov.
Specs on imgmov
| Feature | Value |
|---|---|
| Credit cost | 4 |
| Capabilities | text-to-image, image-to-image |
| Reference image | Yes |
| Aspect ratios | 1:1, 3:2, 2:3 |
| Max quantity | 1 per generation |
| Default aspect ratio | 1:1 |
GPT Image 2 supports a focused set of aspect ratios: square (1:1), landscape (3:2), and portrait (2:3). This is more limited than Seedream 5.0 Lite, which supports 8 ratios including 21:9.
What Makes GPT Image 2 Different
Prompt Adherence
GPT Image 2 follows complex, detailed prompts with exceptional accuracy. When you describe a specific scene with multiple elements, spatial relationships, and stylistic requirements, GPT Image 2 is more likely to render all elements correctly.
Text Rendering
GPT Image 2 is particularly strong at rendering text within images. If your image needs to contain readable text (signs, labels, book covers, posters), GPT Image 2 produces clearer text than most other models.
Instruction Understanding
The model understands nuanced instructions like "the cat should be looking at the bird" or "the left cup should be empty while the right one is full." This makes it ideal for compositions requiring specific spatial relationships.
When to Use GPT Image 2
Choose GPT Image 2 When
- You need maximum prompt adherence for complex scenes
- Your image must contain readable text
- Spatial relationships between elements matter
- You need OpenAI-quality output
- The 4-credit cost is justified by the use case
Choose Other Models When
- Free generation: Use Agnes Image 2.5 Flash for guest-trial composition checks
- Fast quality: Use Nano-Banana 2 (1 credit, Google's model)
- High detail at lower cost: Use Seedream 5.0 Lite (2 credits)
- Complex reasoning with wide aspect ratios: Use Seedream 5.0 Lite (3 credits)
How to Use GPT Image 2 on imgmov
Step 1: Select Image Mode
On the generation interface, select "Image" mode.
Step 2: Choose GPT Image 2
Select GPT Image 2 from the model list. It will show 4 credits as the cost.
Step 3: Write Your Prompt
GPT Image 2 rewards detailed, specific prompts. Include all elements you want in the image, their relationships, and the style.
Step 4: Set Aspect Ratio
Choose 1:1 (square), 3:2 (landscape), or 2:3 (portrait).
Step 5: Optional Reference Image
GPT Image 2 supports image-to-image. Upload a reference image to guide the style or composition.
Step 6: Generate
GPT Image 2 typically generates in 15-40 seconds.
Prompt Engineering for GPT Image 2
Leverage Complex Instructions
GPT Image 2 excels at following complex instructions. Use this to your advantage.
A cozy bookstore interior, wooden shelves filled with colorful book spines, a cat sleeping on a stack of books near the window, warm afternoon light streaming in, dust particles visible in the light beam, a small chalkboard sign reading "Today's Pick" on a display table, photorealistic, inviting atmosphereThe model will attempt to render the chalkboard text, the cat's position, the light beam, and the dust particles, which other models might skip or render incorrectly.
Text in Images
For images requiring text,
A vintage travel poster for a tropical island, bold flat colors, the text "PARADISE AWAITS" in retro typography at the top, palm tree silhouettes at the bottom, sunset gradient background, 1950s advertising styleGPT Image 2 will render the text more accurately than other models.
Spatial Relationships
For specific spatial arrangements,
A dining table seen from above, three plates arranged in a row, the left plate has a steak, the middle plate has pasta, the right plate has a salad, a glass of red wine next to the middle plate, silverware on either side, overhead natural lighting, flat lay photographyStyle and Composition
Abstract geometric composition in Bauhaus style, primary colors red blue and yellow, clean lines and shapes, a large circle in the upper right, a triangle in the lower left, a rectangle spanning the bottom, flat design, minimalistComparison with Other Image Models
| Model | Credits | Text Rendering | Prompt Adherence | Aspect Ratios |
|---|---|---|---|---|
| Agnes Image 2.5 Flash | 0 | Weak | Moderate | 5 ratios |
| Nano-Banana 2 | 1 | Moderate | Good | 8 ratios |
| Seedream 5.0 Lite | 5 | Moderate | Good (reasoning) | 8 ratios |
| GPT Image 2 | 4 | Excellent | Excellent | 3 ratios |
Key Differences
- GPT Image 2 wins on text rendering and prompt adherence but has fewer aspect ratios
- Seedream 5.0 Lite offers reasoning and the widest aspect-ratio support at 5 credits
- Nano-Banana 2 is the best value at 1 credit with good quality
- Free models are best for experimentation and high-volume needs
Image-to-Image with GPT Image 2
GPT Image 2 supports image-to-image generation. Use a reference image to
- Guide style: Use a reference for artistic style direction
- Modify content: Change elements while keeping the composition
- Create variations: Generate variations of an existing image
- Enhance quality: Improve a lower-quality image
GPT Image 2 in the Image-to-Video Pipeline
GPT Image 2 is an excellent choice for generating keyframes in an image-to-video pipeline.
- Generate a high-quality image with GPT Image 2 (4 credits)
- Animate with Agnes Video 2.5 Flash (free) for a free animation
- Or animate with Kling v3 (5 credits) or Veo 3.1 (8 credits) for premium motion
The strong prompt adherence of GPT Image 2 means your keyframe will closely match your vision, giving the video model a better starting point.
Cost Considerations
At 4 credits, GPT Image 2 is the most expensive image model. Use it strategically.
- For images requiring text: GPT Image 2 is the best choice
- For complex compositions: The prompt adherence justifies the cost
- For final keyframes: Use it for the keyframe in an image-to-video pipeline
- For drafts: Use cheaper models (Nano-Banana 2 at 1 credit or free models)
Conclusion
GPT Image 2 is imgmov's premium image model for when quality and prompt adherence matter most. At 4 credits, it is an investment, but its text rendering, instruction understanding, and spatial relationship handling make it worth the cost for complex images and keyframe generation. Use it strategically alongside free and mid-range models to balance quality and cost. Try GPT Image 2 on imgmov.com.