Module 1.0
AI Product Photography
6 lessons · From the course: AI for FMCG & Consumer brands
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1.1From One Product Shot to a Visual Asset BankLearn how to build a basic image-to-image pipeline in ImagineArt to generate a full bank of on-brand product visuals at scale. This lesson walks through connecting the Copilot node to an image node, setting model and output properties, and running multiple generations from a single prompt.→1.2Generating Studio-Quality Hero ShotsLearn how to use ImagineArt's Agent mode to auto-generate prompts from a reference image and instructions, then feed that prompt into an image-to-image pipeline to produce studio-quality hero image candidates — no physical photoshoot required. This lesson builds on the core Copilot + image node workflow, showing a faster route to a polished hero shot.→1.3UGC Style Photography WorkflowLearn how to build a workflow specifically for UGC-style and lifestyle product images in ImagineArt. This lesson covers developing a UGC-specific system prompt with Agent mode, wiring it into a Copilot + image node pipeline, and generating model-posed product shots at scale.→1.4Using Workflows to Generate CGI AssetsLearn how to build a workflow specifically for CGI-style product assets in ImagineArt. This lesson follows the same workflow structure used for product photography and UGC assets, adapting the system prompt via the in-built Agent mode to produce CGI-style renders.→1.5Precision Edits: Refining Your Product ImagesLearn how to iterate on existing static images in ImagineArt by isolating a single property to change — color, lighting, environment, or texture — while keeping everything else in the image constant. This lesson shows how precise prompting and constraints let you fine-tune generations instead of regenerating from scratch.→1.6The Scalable Workflow: Generate a 100+ Assets at OnceLearn how to scale your image Workflow to generate an entire visual asset bank at once, using the Split Text node to feed multiple AI-generated prompts into duplicated Copilot + image node chains. This lesson ties together system prompt creation, Agent mode prompting, and batch generation into a single end-to-end Workflow.→