Batch Generation
Batch generation is producing several AI images at once from a prompt so you can compare variations and pick the best.
June 16, 2026
Batch generation is the practice of creating multiple AI images at once from a single prompt or a set of prompts, producing several variations in one run so you can compare and choose.
How it works
When you request a batch, the model runs the same prompt several times, usually with a different seed for each image. Because the seed sets the starting randomness, each result lands on a different composition, pose, or detail while still following your description. You get a grid of options from one submission rather than waiting through one-by-one generations.
Batch size is the main control — how many images to produce per run. Some workflows also batch across prompts, generating variations of several ideas at once. Once the batch finishes, you scan the outputs, keep the ones you like, and either refine the prompt or rerun with new seeds. It is a fast, low-friction way to explore a creative space instead of betting everything on a single attempt.
Why it matters
Generation is inherently variable, so the first image is rarely the best one. Batching turns that variability into an advantage: more options per run means a higher chance of a great result and far less waiting. It speeds up exploration, makes A/B comparison natural, and is essential for any workflow that needs lots of assets — thumbnails, ad variations, mood boards, or character looks.
In eaxy
eaxy is built for speed, so exploring multiple looks quickly fits naturally. Generate, scan your options, and lock in the frame you love — then carry it into motion with Kling 3. Higher plans give you more headroom and up-to-4K exports with a commercial license on Pro and above, so the variations you create are ready to use, not just preview.
Related terms
Frequently asked questions
What is batch generation?+
It is generating multiple images in a single run instead of one at a time. You set a batch size and the model returns several variations of your prompt together.
Why generate in batches?+
Generation has randomness, so the same prompt yields different results. Producing several at once lets you compare options side by side and keep the strongest one, which is faster than generating singly.
How do variations differ within a batch?+
Each image typically uses a different seed, so the composition and details vary while staying true to the prompt. Changing the seed is what makes each result unique.
Does batch generation change quality?+
No. Each image in a batch is generated to the same quality as a single one. Batching simply runs several together so you have more choices in one pass.
Make it with eaxy
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