image generation
XiNet Picasso Muse style transfer
Lightweight neural style transfer model built on XiNets, networks designed for microcontrollers. Runs on STM32 devices.
Levelmodel
Classimage generation
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onmicrocontroller
Statusactive
R&D Topics
Identity
- Developer
- STMicroelectronics
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- CNN XiNet backbone for tinyML, int8 quantised
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- Output
- image
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- microcontroller
- Footprint
- README lists STM32N6 (STM32N6570-DK), STM32U5 and STM32MP2.
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
ModelXiNet Picasso Muse style transferSTMicroelectronics, image generation
XiNet Picasso Muse style transferSTMicroelectronics, image generationR&D TopicsGenerative Image Modelling Methods (GANs, Diffusion and Image Translation)Efficient Vision Networks for Mobile and Edge Devices
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
R&D topics 2
Efficient Vision Networks for Mobile and Edge DevicesSmall, fast vision networks, often found by architecture search, that run on phones, came…produced byGenerative Image Modelling Methods (GANs, Diffusion and Image Translation)Core methods for learning to generate or translate images, from GANs and autoencoders to…produced by
Sources
- github.com/STMicroelectronics/stm32ai-modelzoo/tree/main... https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/neural_style_transfer
- github.com/STMicroelectronics/stm32ai-modelzoo/tree/main... https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/neural_style_transfer/xinet_picasso_muse
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "XiNet Picasso Muse Style Transfer", https://aurion.semai.id/models/stmicroelectronics-xinet-picasso-muse/, records of October 2026.