v3.5.7 - JoyAI Image Edit, PRX-Pixel, and Krea2
Three new image generation and editing pipelines, including JoyAI Image Edit, PRX-Pixel, and Krea2.
JoyAI Image Edit pipeline
JoyAI-Image-Edit is a multimodal foundation model specialized in instruction-guided image editing. It enables precise and controllable edits by leveraging strong spatial understanding, including scene parsing, relational grounding, and instruction decomposition, allowing complex modifications to be applied accurately to specified regions.
PRX Image pipeline
PRX-Pixel is a pixel-space variant of PRX: it denoises raw RGB directly (no VAE), conditions on a Qwen3-VL text encoder (rather than T5Gemma), and feeds the generation resolution into the timestep modulation. The denoiser is a ~7B PRXTransformer2DModel with a bottleneck patch projection and a resolution embedder.
Krea2 Image pipeline
Krea 2 is a text-to-image diffusion model that generates images from natural-language text descriptions. The model is designed to support creative, commercial, developer, and research use cases, including image generation, concepting, design exploration, visual production workflows, and integration into applications and creative tools.
Upgrade Information
Python environments will need be rebuilt in this version.
Installation
Upgrade from v3.2.0 - v3.5.6 is supported
1. Installer Version
Best for a standard Windows setup with automatic shortcuts.
- New Install & Upgrade:
- Download and run
Amuse_vX.X.X.exe. - Follow the on-screen instructions.
- Download and run
2. Standalone Version
Best for custom drive locations.
New Install:
- Download and extract
Amuse_vX.X.X.zipto your preferred folder. - Run
Amuse.exe.
Upgrade:
- Download and extract
Amuse_vX.X.X.zipto a temp folder. - Copy and overwrite all files in your existing location
- Run
Amuse.exe.
Note: A fast SSD with plenty of free space is highly recommended, as model downloads can be large.
Device Compatibility
This new engine leverages a python based compute backend. Please note the following hardware requirements for this dev release:
- NVIDIA: Supports all CUDA compatible devices (CUDA 12.8).
- AMD: Supports Radeon 7000 GPUs ONLY (ROCm 7.2.1).
- Intel: Not Supported.
Note: As I am a solo developer with very limited testing resources and only a few devices, things may not work.
Full Changelog: v3.5.6...v3.5.7
