Portrait detail
“Enhance this portrait and keep the skin texture natural.”
Made workflow
Upscale and enhance a low-resolution image
Made’s Image Upscaler analyzes a source image, enlarges it, and improves visible detail for a clearer result than ordinary pixel stretching.
What you need to start
JPEG, PNG, or WebP image
What this tool does
- Input
- JPEG, PNG, or WebP image
- Output
- Enhanced JPG image
- How it works
- Large inputs are normalized before enhancement; the finished dimensions are reported with the result.
- Access
- You can prepare the request on this page. Sign-in may be required before processing or download, and Made shows the current plan or credit requirement in the workflow.
Original results
Image Upscaler examples
These examples use media produced for Made. Prompts are included when the production record allows them.
Larger output
“Upscale this image for a larger digital placement.”
AI artwork
“Increase the resolution and preserve the illustration details.”
Prepare for print
“Upscale this landscape for a larger print placement.”
Older photo clarity
“Improve the resolution and clarity of this older photo.”
Product detail
“Upscale this product image and keep the edges clean.”
Practical ways to use Image Upscaler
Small portraits
Enlarge a small portrait while asking the model to retain believable texture.
Product images
Prepare an existing product photo for a larger ecommerce or campaign placement.
AI artwork
Create a larger delivery file after choosing a generated concept.
Older digital photos
Improve legibility when the main issue is softness or low resolution rather than physical damage.
How it works
- 1
Upload the best source
Choose the least compressed version of the image that you have.
- 2
Ask Made to upscale
Use a clear request such as “upscale this image and preserve natural texture.”
- 3
Wait for enhancement
Made processes the source and reports the resulting dimensions.
- 4
Inspect before downloading
Check faces, text, edges, and small objects for invented or over-sharpened detail.
Formats and limits
- Input formats
- JPEG, PNG, WebP
- Output format
- JPG
- Large-input handling
- Inputs above 1,536 pixels on either side are normalized before enhancement
- Batch behavior
- One image per conversational request
- Processing
- Queue-dependent; progress appears in the editor
- Access
- You can prepare the request on this page. Sign-in may be required before processing or download, and Made shows the current plan or credit requirement in the workflow.
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