Image Models
A complete reference for all image generation models available in Qolaba — credit costs, quality options, generation limits, and best use cases organized by workflow type.
Qolaba provides access to a curated set of image generation models across text-to-image, image-to-image, and image editing workflows. Each model has distinct strengths, supported quality levels, credit costs, and generation limits. Use this page as a reference when selecting a model for your image generation task.
How to Read This Page
Credits / Image
Credits consumed per generated image at the specified quality level
Quality
Supported resolution or quality tiers for that model
Max Generations
Maximum number of images producible in a single run
Max Reference Images
Maximum number of reference images uploadable (image-to-image only)
Text-to-Image Models
Text-to-image models generate images from written prompts. Select based on the visual style, quality level, and credit budget required for your task.
Flagship Models
Nano Banana 2
0.5K
15
4
General-purpose generation — fast, versatile, strong quality across a wide range of styles
1K
21
2K
32
4K
48
Nano Banana Pro ⭐
1K / 2K
42
4
Premium quality — higher fidelity for demanding, production-ready outputs
4K
75
OpenAI Models
GPT Image 2 uses quality tiers — Low, Medium, and High — instead of resolution values. These correspond to increasing levels of detail, prompt adherence, and visual fidelity:
Low — fast generation, basic detail, suitable for drafts and concept testing
Medium — balanced quality for most professional use cases
High — maximum detail, photorealism, and prompt accuracy for final production output
GPT Image 2 ⭐
Low
4
8
Photorealism, text-in-image, structured scenes with strong prompt comprehension
Medium
19
High
69
Google Models
ImageGen 4
1K / 2K
11
4
General-purpose — Google's latest image model, strong all-rounder for varied tasks
ImageGen 4 Fast
1K / 2K
6
4
Fast generation — quick iterations, draft testing, high-volume workflows
ImageGen 4 Ultra ⭐
1K / 2K
16
4
Maximum quality — highest fidelity tier from Google for production-ready output
Flux Models
Black Forest Labs
Flux.2 Pro ⭐
Standard
19
4
Creative, high-fidelity generation — next-generation Flux model for detailed artistic output
Flux.1 Dev
Standard
8
4
Developer-friendly experimentation — open model, great for testing and creative exploration
ByteDance Models
Seedream 4.5
Standard
13
6
Creative and stylized images — ByteDance's flagship, exceptional for artistic and expressive outputs
Recraft Models
Recraft V4
Standard
13
4
Design assets and icons — clean graphic design output, brand-consistent visuals, vector-style imagery
Image-to-Image Models
Image-to-image models accept one or more reference images to guide generation. Everything else — prompt, keywords, output controls — works the same as text-to-image. The reference images influence composition, style, subject, or structure of the output.
Qolaba Flagship Models
Nano Banana 2
0.5K
15
4
13
General-purpose reference-guided generation — versatile, consistent quality
1K
21
2K
32
4K
48
Nano Banana Pro ⭐
1K / 2K
42
4
13
Premium reference-guided generation — highest fidelity for brand and production assets
4K
75
OpenAI Models
GPT Image 2 ⭐
Low
4
8
15
Photorealistic transformations, text-in-image, strong prompt-guided reference editing
Medium
19
High
69
Flux Models
Flux.2 Pro ⭐
Standard
19
4
8
Creative, high-fidelity style and content transformation with reference guidance
Image Editing Models
Image editing models are purpose-built tools used within the four editing workflows — Inpainting, Background Removal, Upscaling, and Image Variation. They run automatically based on the tool selected and are not manually chosen in the model selector.
BiRefNet V2
Background Removal
One-click background removal — accurately detects and isolates the subject from any background
Flux General Inpainting
Inpainting & Cleanup
Mask-based editing — removes or replaces specific areas of an image based on a text prompt
Nano Banana 2
Image Variation
Generates creative variations inspired by uploaded reference images — up to 13 references supported
Model Comparison at a Glance
General-purpose generation
Nano Banana 2
Versatile, strong quality, lowest cost entry point for flagship output
Premium production output
Nano Banana Pro ⭐
Highest fidelity for demanding, client-facing creative work
Photorealism and text-in-image
GPT Image 2 ⭐
OpenAI's latest — best-in-class for photorealistic scenes and legible text
Creative and artistic output
Seedream 4.5
Exceptional for stylized, expressive, and artistic image generation
Design assets and icons
Recraft V4
Clean graphic design output with strong brand consistency
Fast iteration and drafts
ImageGen 4 Fast or Flux.1 Dev
Low cost, fast generation — ideal for prompt testing and concept exploration
Maximum Google quality
ImageGen 4 Ultra ⭐
Google's highest quality tier for production-ready output
Reference-guided generation
Nano Banana 2 or Nano Banana Pro ⭐
Up to 13 reference images — best for brand consistency and style matching
Most reference images
GPT Image 2 ⭐
Supports up to 15 reference images per generation
Background removal
BiRefNet V2 (auto)
Best-in-class subject isolation — runs automatically via Background Removal tool
Inpainting and cleanup
Flux General Inpainting (auto)
Precise mask-based editing — runs automatically via Inpainting tool
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