This is the Linux app named Step1X-Edit whose latest release can be downloaded as Step1X-Editsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Step1X-Edit
DESCRIPTION
Step1X-Edit is a state-of-the-art open-source image editing model/framework that uses a multimodal large language model (LLM) together with a diffusion-based image decoder to let users edit images simply via natural-language instructions plus a reference image. You supply an existing image and a textual command — e.g. “add a ruby pendant on the girl’s neck” or “make the background a sunset over mountains” — and the model interprets the instruction, computes a latent embedding combining the image content and user intent, then decodes a new image implementing the edit. The model targets general-purpose editing: from object addition/removal, style changes, recoloring, retouching, background replacement, to complex transformations like changing lighting, mood, or art style. The authors trained it on a large curated dataset and benchmarked it on a newly introduced evaluation suite, showing that Step1X-Edit significantly outperforms previous open-source baselines.
Features
- Multimodal editing: accepts a reference image + natural language instruction to guide edits
- Diffusion-based image decoder combined with LLM-driven latent editing for high fidelity results
- Broad editing capability: adding/removing objects, recoloring, style changes, background swaps, retouching, artistic transformations
- Open-source model weights + code + evaluation benchmark (GEdit-Bench) for reproducibility and extension
- Hardware-flexible: supports quantized / optimized variants to accommodate lower-resource GPUs or setups
- Designed for user-friendly workflow — simple API / “pipeline” interface for integration in creative tools or automated workflows
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/step1x-edit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
