> ## Documentation Index > Fetch the complete documentation index at: https://fal.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Image Generation API > Image Generation API reference. Generate and edit images using state-of-the-art diffusion and transformer models. ## Overview Generate and edit images using state-of-the-art diffusion and transformer models. fal.ai offers a wide range of models for text-to-image generation, image-to-image editing, style transfer, and context-aware transformations — optimized for different use cases from fast prototyping to production-quality output. ## Top Models Nano Banana 2 is Google's new state-of-the-art fast image generation and editing model Example output from Nano Banana 2 Nano Banana Pro is Google's new state-of-the-art image generation and editing model Example output from Nano Banana Pro Image editing with FLUX.2 \[pro] from Black Forest Labs. Ideal for high-quality image manipulation, style transfer, and sequential editing workflows Example output from Flux 2 Pro FLUX1.1 \[pro] ultra is the newest version of FLUX1.1 \[pro], maintaining professional-grade image quality while delivering up to 2K resolution with improved photo realism. Example output from FLUX1.1 [pro] ultra FLUX.1 \[dev] is a 12 billion parameter flow transformer that generates high-quality images from text. It is suitable for personal and commercial use. Example output from FLUX.1 [dev] Super fast endpoint for the FLUX.1 \[dev] model with LoRA support, enabling rapid and high-quality image generation using pre-trained LoRA adaptations for personalization, specific styles, brand identi Example output from FLUX.1 [dev] with LoRAs Google's famous original image generation and editing model Example output from Nano Banana A new-generation image creation model ByteDance, Seedream 4.5 integrates image generation and image editing capabilities into a single, unified architecture. Example output from Bytedance Edit images precisely with xAI's Grok Imagine model Example output from Grok Imagine Image GPT Image 1.5 generates high-fidelity images with strong prompt adherence, preserving composition, lighting, and fine-grained detail. Example output from GPT-Image 1.5 Use SeedVR2 to upscale your images Example output from SeedVR2 Gemini 3 Pro Image (a.k.a Nano Banana Pro) is Google's state-of-the-art high-fidelity image generation and editing model Example output from Gemini 3 Pro Image Preview Bria RMBG 2.0 enables seamless removal of backgrounds from images, ideal for professional editing tasks. Trained exclusively on licensed data for safe and risk-free commercial use. Model weights for c Example output from Bria RMBG 2.0 Z-Image Turbo is a super fast text-to-image model of 6B parameters developed by Tongyi-MAI. Example output from Z-Image Turbo bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS) Example output from Birefnet Background Removal Use the powerful and accurate topaz image enhancer to enhance your images. Example output from Topaz Generate high-quality images, posters, and logos with Ideogram V3. Features exceptional typography handling and realistic outputs optimized for commercial and creative use. Example output from Ideogram Text to Image Remove the background from an image. Example output from Remove Background Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks Example output from Florence-2 Large Explore all image generation models on [fal.ai/models](https://fal.ai/models). ## Quick Start Get started with **Nano Banana 2**: ```python title="Python" theme={null} import fal_client def on_queue_update(update): if isinstance(update, fal_client.InProgress): for log in update.logs: print(log["message"]) result = fal_client.subscribe( "fal-ai/nano-banana-2", arguments={ "prompt": "An action shot of a black lab swimming in an inground suburban swimming pool. The camera is placed meticulously on the water line, dividing the image in half, revealing both the dogs head above water holding a tennis ball in it's mouth, and it's paws paddling underwater." }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ```javascript title="JavaScript" theme={null} import { fal } from "@fal-ai/client"; const result = await fal.subscribe("fal-ai/nano-banana-2", { input: { prompt: "An action shot of a black lab swimming in an inground suburban swimming pool. The camera is placed meticulously on the water line, dividing the image in half, revealing both the dogs head above water holding a tennis ball in it's mouth, and it's paws paddling underwater." }, logs: true, onQueueUpdate: (update) => { if (update.status === "IN_PROGRESS") { update.logs.map((log) => log.message).forEach(console.log); } }, }); console.log(result.data); console.log(result.requestId); ``` ## Pricing For detailed pricing information, see the [fal.ai pricing page](https://fal.ai/pricing) or individual model pages.