Setup
Configure the batch once
Set prompts, ratios, and references in one place instead of rebuilding the same launch steps for every run.
Generate up to 1000 AI images in one launch
Scale Your AI Image Production with Multi-Workflow Batch Generation
Stop running prompts one by one. HummingBytes lets teams launch multi-workflow batch generation across multiple prompts, source images, aspect ratios, and premium AI workflows in a single coordinated run.
Inside the product
Configure once. Review the full set together.
Queue one workflow with multiple prompt variations, launch it once, and review the coordinated output set in one workspace. Batch image generation is built for teams that need less repetitive clicking and better output review.
Run prompt variations in one reviewable batch
Keep one workflow, one reference set, many outputs
See live image and credit totals before launch
Fan prompts across standard and ultrawide ratios
One setup, many outputs
Why multi-workflow batch generation is more than bulk output.
The real advantage is not only that one setup can generate many images. It is that prompts, ratios, references, model economics, and results stay coordinated from launch through review.
Efficiency
Stop repeating the same setup for every run
Configure prompts, references, and aspect ratios once and let the batch expand the combinations for you instead of rebuilding each run manually.
Review
Review the full set together
Keep the whole output set grouped so selection, feedback, and handoff happen on the batch instead of across isolated one-off runs.
Three high-leverage workflows
Three workflows that make multi-workflow batch generation obvious.
Different teams use the same engine in different ways. The win is removing repetition while keeping the output consistent.
One reference, many prompts
Create a month of character content in minutes.
For AI influencers, mascots, and brand characters
Example
Place this character in a cozy coffee shop, morning light through the window, warm tones.
Keep the face and visual identity anchored while turning one reference into a full content set.
Many references, one prompt
Automate a product catalog without manual relighting.
For ecommerce teams and creative operations
Example
Place this product on a white marble surface with soft studio lighting and a subtle drop shadow.
Get a repeatable product-photo system instead of editing each image by hand.
Many prompts, no references
Generate a full image library from a prompt list.
For game teams, storyboards, and campaign production
Example
A misty forest clearing at dawn, a single lantern hanging from a gnarled oak branch.
Review the full set together in one workspace instead of waiting on requests one by one.
Real batches, real outputs
One setup can produce a coordinated output set.
These showcase pages came from real batch-generation workflows, where one setup expanded into multiple polished outputs that could be reviewed together instead of one by one.
Professional CEO headshot
Studio-grade executive portraits that look modern, credible, and ready for press kits.
View showcase
Contemporary real estate portrait
Modern editorial headshots with crisp, approachable styling.
View showcase
AI supercar parking portrait
Editorial portraits with bold lines, bright daylight, and clean styling.
View showcase
Funny hyperrealistic caricature portrait
Identity-preserving caricature outputs with playful expression, painterly realism, and bold personality.
View showcase
Why teams use this instead of doing it manually
Multi-workflow batching works because the whole output set stays reviewable.
The workflow advantage is not just faster clicking. It is that the whole set stays grouped, comparable, and easier to hand off once rendering is done.
One setup, one launch
Instead of repeating the same configuration across isolated runs, multi-workflow batch generation turns one setup moment into one coordinated launch.
A full output set to compare
The real win is seeing the full range together instead of trying to remember which single run produced the best result.
Better handoff for teams
Clients, stakeholders, and internal reviewers can respond to a full output set at once instead of waiting on a trickle of one-off generations.
Before and after
What changes when you stop running prompts one by one.
Scenario: 10 prompts × 5 aspect ratios = 50 images for a product campaign.
Without multi-workflow batches
Enter a prompt, pick a ratio, wait for the result, download it, repeat. Fifty times.
Active setup time
~45 min
With multi-workflow batches
Enter 10 prompts, select 5 ratios, preview the total, launch once. Come back when it is done.
Active setup time
~2 min
Both numbers reflect hands-on setup time, not generation wait time. Actual generation speed depends on the workflow and current queue.
Questions teams ask before they use multi-workflow batch generation.
These answers reflect the current product behavior, limits, and access rules inside HummingBytes today.
How many workflows can I run in one batch?
You can run up to 10 workflows in a single batch. Each workflow is configured separately before launch.
How many prompts, aspect ratios, and reference sets can each workflow use?
Multi-workflow batches currently support up to 10 prompts, up to 10 aspect ratios, and up to 10 reference sets per workflow. Gemini batch jobs support up to 100 prompts per workflow because they run through queued provider batch jobs.
What is the maximum batch size?
A batch is currently capped at 1000 generated items total. That total comes from the combinations created across prompts, aspect ratios, and reference sets.
Can each workflow use different prompts, ratios, and references?
Yes. HummingBytes lets you configure prompts, aspect ratios, reference sets, and workflow-specific parameters separately for each selected workflow.
Do I see image and credit totals before launching the batch?
Yes. The batch form estimates total images and total credits before you launch, so you can review the workload before committing it.
Do I need a paid plan for multi-workflow batch generation?
Yes. Multi-workflow batch generation requires a paid plan. Supported workflows currently include Gemini 3.1 Flash Image batch, Gemini 3 Pro Image batch, Seedream 5.0 Lite, and FLUX.2 Flex. The app validates workflow support before estimating or launching.
Connect this workflow to the rest of your stack
These routes help you move from feature discovery to inspiration and model selection without losing the thread.
Model
GPT Image 2
OpenAI's GPT Image 2 on HummingBytes for product visuals, ecommerce packshots, social ads, readable layouts, and reference-guided edits.
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Model
GPT-Image-1.5
A supported OpenAI image model on HummingBytes for transparent PNG output, compositing, UI mockups, and other structured image workflows.
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Model
Nano Banana 2
The fast default image model for most HummingBytes users when you want strong generation and editing without paying Pro-level cost.
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Feature
Text to Image
Turn prompts into polished images for campaigns, product visuals, portraits, and concept work.
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Feature
Image to Image
Start from a reference image and transform it into edits, restyles, cleanups, and new visual directions.
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Feature
AI Image Upscaler
Use this workflow when the image already works creatively but needs a cleaner final export.
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Feature
Image to Video
Animate still images into short motion clips with controlled camera movement and cinematic pacing.
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Comparison
Model Comparisons
Compare models side by side before you commit a workflow.
Explore
Ship more with less busywork
Launch one batch and get back to the rest of the job.
Use HummingBytes to automate AI image creation for campaigns, product catalogs, character libraries, and repeatable creative pipelines.