Magnific launches layer-by-layer image editor

// 2h agoPRODUCT UPDATE

Magnific launches layer-by-layer image editor

Magnific has introduced layer-by-layer image editing capabilities, enabling users to upload any image and have it segmented into individual layers like text, subjects, and backgrounds. This feature gives creators precise control over each element, allowing them to adjust typography, layouts, colors, and perform detailed AI-guided modifications without altering the rest of the image.

// ANALYSIS

This update transforms Magnific from a creative AI upscaler into a sophisticated graphic design canvas, directly competing with traditional editing software by combining AI segmentation with layer-based workflows.

–Automatic Segmentation: Automatically separating text, subject, and background components drastically reduces manual selection and masking time for creators.
–Localized AI Editing: Users can iterate on specific image layers while preserving the rest of the composition, solving a major pain point of generative image editing.
–Design-First Features: Integrating traditional graphic design capabilities (e.g. typography, layout) with generative AI signals a trend of AI tools evolving into full-fledged creative suites.

// TAGS

aiimage-editinggraphic-designmagnificproduct-update

DISCOVERED

2h ago

2026-06-12

PUBLISHED

2h ago

2026-06-12

RELEVANCE

7/ 10

AUTHOR

toolfolio

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

BENCHMARK56m ago

GPT-5.6 excels on DeepSWE coding benchmark

A shared screenshot from Datacurve's latest DeepSWE benchmark indicates significant reasoning and coding execution improvements in OpenAI's upcoming GPT-5.6 model compared to previous models. DeepSWE measures AI coding agent capabilities on long-horizon, multi-file software engineering tasks under strict sandbox environments.

NEWS59m ago

Microsoft, AWS flag Claude Fable 5 retention

Anthropic's newly introduced data retention policy for its Claude Fable 5 model has drawn flags from major cloud partners Microsoft and AWS, leading to a rollback in adoption by enterprise customers. The policy mandates a 30-day retention period for all prompts and outputs across all platforms and surfaces, including AWS Bedrock, raising security and privacy concerns among corporate clients who require strict data confidentiality.

TUTORIAL1h ago

ElevenLabs hosts Self Publishing Show audiobook workshop

ElevenLabs is running a live workshop at the Self Publishing Show, focusing on how authors can create and distribute audiobooks from scratch. The hands-on session covers auditioning AI voices, importing and editing manuscripts using ElevenLabs' creative suite, and publishing the final product directly onto the ElevenReader app.