Loading...
Workspace Capabilities
Put e-commerce visual production inside one AI workspace
MyGalaAI Workspace is organized around product assets, project canvases, brand profiles, templates, and AI task queues, helping teams move from one-off image work to traceable, reusable production workflows.
Product Capabilities
Image translation and localization
Recognize text in product images, combine it with target-language output, and generate localized visual versions for cross-border launches.
TranslationLayout adaptationMarket versions
View solution
Detail page generation
Generate product detail visuals from selling points, assets, and brand profiles to reduce repeated design work.
Page structureBrand profilesTemplate reuse
View solution
Gallery generation
Create related visual assets around main product images, scenarios, and marketing themes.
Main imagesScene imagesMarketing assets
View solution
SKU image generation
Generate consistent images for colors, specifications, bundles, and other SKU dimensions.
VariantsConsistent styleAsset library
View solution
Background replacement and try-on effects
Support background, scene, and try-on style processing for product presentation, with output depending on available models and task capabilities.
BackgroundsScenesReviewable output
View solution
Batch processing
Use task queues and batch records to manage high-frequency production, task status, failure reasons, and result assets.
Task queuesBatch recordsResult tracking
View solutionOrganized around real business structures
The product page avoids internal database terminology, while keeping the capability story aligned with current models and data boundaries.
Workspaces and teams
Manage collaboration boundaries through organizations, members, and roles.
Projects and canvases
Each project carries product assets, canvas nodes, and production context.
Assets, brand profiles, and templates
Reusable assets are organized at project and team level to support consistent output.
Credits and plans
AI production consumption is managed through credits, plans, and order records; pricing comes from live plan data.
AI tasks are traceable end to end
Workspace production is organized around AI tasks so teams can queue work, process it, diagnose failures, and reuse results.
1
Create task
Start generation from a project, asset, or canvas node.
2
Process queue
Track queued, processing, completed, and failed states.
3
Review result
Write generated results back to project assets for editing and reuse.
Start building your e-commerce visual production workflow
Begin with one project, one set of product assets, and a clear output target.