MOS Image
An open-source text-to-image model with 5 billion parameters that supports operation under low VRAM (4GB). It features a large knowledge capacity, strong text rendering capability, and support for non-standard aspect ratios and layout control.
Timeline (last 90 days)
MOS Image is a text-to-image model with only 5 billion parameters that can run with 4GB of VRAM.
MOS Image can generate images containing clear text, charts, infographics, and complex design elements.
MOS Image supports bounding-box-based layout control, allowing the positions of elements in the image to be specified.
MOS Image supports loading LoRA to extend style or character expression.
By loading an 8-step DMD LoRA, MOS Image's generation speed can be increased 3-4 times.
MOS Image itself is a text-to-image model and does not support natural-language semantic editing, but editing can be achieved through traditional inpainting.
Ostrich AI Toolkit has added support for MOS Image, provides detailed instructions, and is compatible with macOS.
Compared with Creature 2, which has twice the parameter count, MOS Image's image quality is slightly inferior.
Compared with its closest competitor Z Image, MOS Image is superior in comprehension and flexibility.
In MOS Image's ComfyUI configuration, Qwen 3.5 9B can be selected as the text encoder and Flux 2.0 VAE as the VAE.
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All Facts (11)
MOS Image is a text-to-image model with only 5 billion parameters that can run with 4GB of VRAM.
50%UnverifiedMOS Image can generate images containing clear text, charts, infographics, and complex design elements.
50%UnverifiedMOS Image supports bounding-box-based layout control, allowing the positions of elements in the image to be specified.
50%UnverifiedMOS Image supports loading LoRA to extend style or character expression.
50%UnverifiedBy loading an 8-step DMD LoRA, MOS Image's generation speed can be increased 3-4 times.
50%UnverifiedMOS Image itself is a text-to-image model and does not support natural-language semantic editing, but editing can be achieved through traditional inpainting.
50%UnverifiedOstrich AI Toolkit has added support for MOS Image, provides detailed instructions, and is compatible with macOS.
50%UnverifiedCompared with Creature 2, which has twice the parameter count, MOS Image's image quality is slightly inferior.
50%UnverifiedCompared with its closest competitor Z Image, MOS Image is superior in comprehension and flexibility.
50%UnverifiedIn MOS Image's ComfyUI configuration, Qwen 3.5 9B can be selected as the text encoder and Flux 2.0 VAE as the VAE.
50%UnverifiedIn MOS Image's layout control workflow, the SFT model should be used rather than the Base model.
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