Weavy: Dressing a Character with Reference Images

Demo summary
The creator demonstrates a complex workflow that takes a base character, a specific clothing reference image, and a background environment image to generate a composite master reference using the Nano Banana model.
Step-by-step
- Enter your prompt in the first node, describing the character and setting.
- Drag and drop at least two character reference images into the second step nodes.
- Upload a clothing reference image into the designated clothing node.
- Upload an environment or object image if you want a specific background instead of white.
- Click on the output node to open the settings panel on the right.
- Select your desired aspect ratio (e.g., 9:16 or 16:9) from the dropdown menu.
- Connect the image outputs to the final master reference node.
Options
- Change the output aspect ratio to 16:9 for landscape or 9:16 for portrait.
- Include an environment image to replace the default white background.
Watch out for
- This workflow requires a desktop; it does not work on mobile phones.
- If you use mixed ratio images (e.g., a square and a portrait), you must manually set the output aspect ratio instead of leaving it on 'default' to avoid unpredictable results.
Tips
- Use a close-up shot as one of your character references to provide finer facial details.
- When using a clothing reference, keep the prompt simple, such as 'character wearing the referenced image'.
- Ensure the output aspect ratio matches your intended platform, like 9:16 for Instagram Reels or 16:9 for YouTube.
Highlights
“don't be overwhelmed by by the way it looks. I showed you every single thing that I used before I used here.”
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50:538:38Dressing a Character with Reference ImagesCurrentThe creator demonstrates a complex workflow that takes a base character, a specific clothing reference image, and a background environment image to generate a composite master reference using the Nano Banana model.Weavy· AI Image Combiner- Watch “Weavy AI Master Class for Beginners | Figma Weave” →
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