MOSS-Image

MOSS-Image supports Chinese and English text rendering, and the video's author says its performance is better than open-source models of the same level.

MOSS-Image claims to be able to generate 8K resolution images, but the video does not provide specific details on time consumption and peak VRAM usage.

MOSS-Image can run locally and smoothly on consumer-grade graphics cards with 6G of VRAM (such as the 3060 level).

MOSS-Image uses the DT (Diffusion Transformer) architecture.

MOSS-Image is an open-weight model that supports local inference.

MOSS-Image's style coverage includes anime illustration and realistic styles.

The MOSS-Image model has approximately 500 million parameters.

MOSS-Image supports ultra-long prompts of 4K tokens.

MOSS-Image was jointly open-sourced by the OpenMouse team at Fudan University and Shanghai Moss Intelligence.

In terms of overall performance, MOSS-Image is suitable for anime, lifestyle portrait, and e-commerce text layout needs; realistic materials, high-detail scenarios, and image editing tasks should still be left to mature models such as Tongyi Qianwen Image 2.1.

In e-commerce product detail page scenarios, MOSS-Image's text layout aesthetics are superior to those of Tongyi Qianwen Image 2.1.

MOSS-Image is an open-source text-to-image model that can be used to generate images after being deployed in a local ComfyUI environment.

The SFT version of MOSS-Image is fine-tuned from the Base version and performs better than the Base version in most scenarios.

Community author Cook optimized an 8-step acceleration LoRA for MOSS-Image, which has a positive effect on the image generation logic and image beautification.

In a local consumer-grade GPU environment, generating images with both the MOSS-Image and Tongyi Qianwen Image 2.1 modules enabled, the full round consistently takes between just over 80 seconds and 92 seconds.

In the same test environment, Tongyi Qianwen Image 2.1 completes sampling in about 43 seconds, while MOSS-Image completes sampling in just over 30 seconds, so MOSS-Image samples slightly faster.

MOSS-Image produces a softer style, suitable for lifestyle portraits and gentle, sweet-style portraits; Tongyi Qianwen Image 2.1 has more detail and more solid realism and texture.

MOSS-Image is an uncensored model with loose prompt constraints and greater creative freedom.

MOSS-Image does not have image editing capabilities (such as image-to-image, inpainting, and outpainting) and cannot replace mature models with editing capabilities in the workflow.

MOSS-Image can run on a GPU with 16GB of VRAM and provides a GGUF version to support Macs and machines without supported GPUs.