OpenAI's GPT Image 2 on fal.ai with explicit quality and output-size controls for one-at-a-time image generation.
Model Overview
GPT Image 2 generates polished images from text prompts. This Nodespell node intentionally exposes a curated subset of controls so pricing stays understandable before the run and can still be corrected to fal's billed amount after completion.
Best At
- Prompt-driven image generation with stronger quality control than a minimal text-to-image surface.
- Clean iteration across fal's published output sizes or explicit custom width and height values.
- Producing exports in PNG, JPEG, or WEBP without extra post-processing.
Limitations / Not Good At
- This node fixes generation to one output image per run.
- Custom sizes still need to satisfy fal's GPT Image 2 limits: multiples of 16, max edge 3840px, aspect ratio up to 3:1, and total pixels between 655,360 and 8,294,400.
- Exact final billing can still vary, so the displayed estimate is only the starting point before post-run correction.
Ideal Use Cases
- Marketing stills, social visuals, and concept art where explicit quality settings matter.
- One-off image generation where predictable starting estimates are more useful than exposing every raw API field.
- Workflows that need a simple OpenAI image model on fal.ai without custom request wiring.
Input & Output Format
- Input: required
prompt, plus quality, image_size_preset, optional custom_width / custom_height, and output_format.
- Output: generated image asset returned on
response.
Performance Notes
- Higher quality and larger output sizes materially increase cost.
- Custom sizes use the nearest published GPT Image 2 pricing bucket for the starting estimate, then Nodespell corrects credits after the run using fal billing events.
