MOSS-Image-SFT

What is MOSS-Image-SFT

MOSS-Image-SFT is an image fine-tuning model released by OpenMOSS-Team on Hugging Face, designed to enhance the multimodal image understanding and generation capabilities of the MOSS series models.

Key features

• Supports natural language prompts, tag sequences and JSON layouts to control text placement and object arrangement
• Supervised fine-tuning based on MOSS-Image-Base to improve text grouping and layout organisation capabilities
• Supports ComfyUI plugin integration

Who it is for

Developers and researchers who need to generate controllable layout images or improve multimodal image understanding capabilities.

How to get started

1. Use Python 3.10 or higher with an NVIDIA GPU and CUDA installed
2. Load the model using DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT", custom_pipeline="pipeline_moss_image", trust_remote_code=True)
3. Search for MOSS-Image in the ComfyUI Manager to install the native plugin

Compiled from public descriptions on the tool's official website / README / launch page. Pricing and user numbers have not been verified; please check the official website. Some sections were drafted with AI assistance. Written in Chinese and English; other languages are machine-translated.