AI Text to Image
Generates images from text prompts using AI, with five models from fast drafts to designer-grade output with readable in-image text.
AI Text to Image creates images from a text description. Five models cover different strengths in speed, cost, and specialty: FLUX Fast (quick iterations), FLUX.2 Pro (professional output), Nano Banana 2 (best prompt understanding, web search), FLUX.2 Max (highest fidelity), and GPT Image 2 (designer-grade output with the best in-image text rendering of any model, ideal for signage, UI mockups, posters, and multilingual labels).
The output is a standard image that wires into any other node: feed it through Palette Remap, add effects, composite it, or export directly. AI is just another node in the pipeline.
Parameters
Section titled “Parameters”Pins
Prompt
Text prompt describing the image
What to avoid in the image (model-specific support)
Model
AI model
Generation
Generation seed; -1 = random each run
Output width
Output height
Inference steps. Max depends on the selected model
Prompt adherence strength
Output aspect ratio
Output resolution (cost scales)
Enable web search augmentation (+1 credit)
GPT Image 2 output size preset
Generation quality. Low/Medium cost less
Usage Tips
Section titled “Usage Tips”- Start with FLUX Fast for prompt iteration, then switch to FLUX.2 Pro or FLUX.2 Max for final output.
- Reach for GPT Image 2 when the image needs readable text inside it (posters, UI mockups, labels) or when a complex multi-clause prompt has to be followed exactly.
- GPT Image 2 prices a 6×3 matrix of output size × quality (Low / Medium / High). The default Medium is the sweet spot; the live cost label above Generate updates as you change either.
- Use a negative prompt to exclude unwanted elements (FLUX Fast only).
- Wire the output into Remove BG to get a clean cutout on transparent background.
- Set a specific seed to reproduce a result you like, then tweak the prompt while keeping the same composition. (Seed is unsupported on GPT Image 2 and is hidden for that model.)