Tool Directory
Image Generator
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Image Conditioned Generation
Reference-Guided Variations
Generate reference-guided product variations, scene updates, and campaign-ready edits from one source image with optional extra references for stronger visual consistency.
Examples: keep the product shape, place it on a clean studio background
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Reference Images
Add up to 3 extra references to guide style, product details, or brand consistency.
Recent Sessions
Reference-guided outputs
Maintain structure while generating new styles or scenes from one main image plus optional extra references.
Prompt control
Direct background swaps, colorways, and material updates.
Multi-reference guidance
Use extra references to reinforce art direction, details, and brand consistency.
Layer-ready handoff
Send the best outputs to Image-to-Layers for editing.
Generate Variations in 4 Steps
Upload a reference image, guide the prompt, review variations, and export for edits.
Upload a reference image
Upload one clear main image so the model can preserve shape, framing, and key product details.
Add optional extra references
Attach up to three more reference images when you want stronger consistency for styling, material cues, packaging details, or brand look-and-feel.
Describe the change
Write a concise prompt that explains what should change, such as the setting, colorway, material, or lighting direction.
Review and export
Compare the outputs for edge quality, brand accuracy, and scene consistency, then open the best result in Image to Layers for further cleanup or handoff.
Key Features
Reference guidance, controlled variations, and batch-ready outputs for ecommerce and marketing.
Variation generation
Create multiple candidates for ads and catalog testing.
Background swaps
Replace environments while keeping the product consistent.
Brand consistency
Preserve logos, proportions, and product geometry.
Batch workflows
Move faster on recurring catalog and campaign updates.
Layer handoff
Export to Image-to-Layers for PSD-ready edits.
Common Use Cases
Generate product variations, marketing creatives, and scene swaps from a single reference image.
Product variations
Generate colorways and material changes from a single shot.
Marketing creatives
Produce ad variants while preserving product structure.
Lifestyle scenes
Swap backgrounds for seasonal or campaign visuals.
Catalog refresh
Update listing imagery without a reshoot.
Design exploration
Test visual directions before production.
Model + Credits
Use one reference image and one prompt to generate controlled visual variations.
Case Studies
Product catalog refresh
Challenge: New colorways needed without reshoots or delays.
Solution: Used one hero photo as the visual anchor, then generated controlled variations for each new finish and scene.
Result: 30% faster SKU expansion with consistent imagery.
Marketing creative testing
Challenge: Ad variants were slow to produce for A/B tests.
Solution: Built multiple on-brand directions from the same product shot so the team could compare concepts before launch.
Result: Faster iteration and stronger campaign learnings.
Lifestyle background swaps
Challenge: Seasonal scenes needed while preserving product structure.
Solution: Used the original packshot as the reference while changing only the setting, lighting mood, and styling cues.
Result: On-brand scenes without re-shoots.
Design exploration
Challenge: Teams needed multiple style directions before production.
Solution: Generated several visual directions from the same source image to align faster on the right creative direction.
Result: Shorter decision cycles and clearer direction.
Ecommerce scene generation
Challenge: Marketplace listings lacked consistent scene styling.
Solution: Created a repeatable reference-guided workflow for listing imagery so each product family kept a consistent look.
Result: Improved listing quality and cohesion.
Known Limitations
Style drift
Long prompts can shift the subject away from the reference.
Logo fidelity
Small text or logos may need manual review.
Complex lighting
Strong reflections can be inconsistent between variants.
Busy backgrounds
Dense scenes reduce structural consistency.
Low-resolution inputs
Pixelated sources reduce edge quality.
Frequently Asked Questions
What is image conditioned generation?
It creates new visuals from a source image and a prompt, helping you preserve composition while changing the surrounding scene or styling.
How is it different from text-only generation?
Text-only generation starts from scratch. Image conditioned generation keeps more of the source image structure so changes stay closer to the original asset.
Can I keep logos and proportions?
Yes, although you should still review the final output closely when logos, labels, or small text must remain exact.
What inputs are supported?
Clean JPG, PNG, and WebP files work best, especially when the subject is well lit and clearly separated from the background.
Can I change only the background?
Yes. This workflow is a strong fit for background swaps, scene styling changes, and contextual updates around the same subject.
Is it good for ecommerce?
Yes. It is useful for product variations, catalog refreshes, seasonal campaigns, and creative testing from one source photo.
How many variations should I generate?
Start with a small batch of 3 to 6 outputs, compare the strongest directions, then iterate on the best one.
Does it support batch workflows?
Yes. Teams often use it in repeatable catalog and campaign workflows where each product needs the same style treatment.
What file formats do I get?
Outputs are typically returned as PNG or JPG. You can move the result into Image to Layers if you need a more editable production workflow.
Is there an API?
This page is designed for the browser workflow, while teams with larger pipelines can adapt the same process to their own automation stack.
When should I use Image-to-Layers?
Use Image to Layers when you want to separate foreground elements, refine shadows, or hand the result off for layered editing.
How do I reduce artifacts?
Use clean references, keep prompts specific, and iterate in small steps so the model stays close to the source composition.
Ready to generate variations?
Create image-to-image variants and hand off the best outputs for layered editing.
Open Image to Layers