Ovis-Image

Ovis-Image is a 7B text-to-image model by AIDC-AI, built on Ovis-U1, optimized for high-quality text rendering in generated images. It achieves state-of-the-art results on the CVTG-2K text rendering benchmark while remaining compact enough for single-GPU deployment.

Model Variants

Ovis-Image-7B

2B (Ovis2.5-2B) + 7B parameter architecture
State-of-the-art on CVTG-2K benchmark for text rendering accuracy
Competitive with 20B+ models (Qwen-Image) and GPT-4o on text-centric tasks
Uses FLUX-based autoencoder for latent encoding
Apache 2.0 license

Key Features

Excellent text rendering with correct spelling and consistent typography
High fidelity on text-heavy, layout-sensitive prompts
Handles posters, banners, logos, UI mockups, and infographics
Supports diverse fonts, sizes, and aspect ratios
Strong performance on both English and Chinese text generation
Available via Diffusers library with OvisImagePipeline

Hardware Requirements

Minimum: 16GB VRAM (bfloat16)
Recommended: 24GB VRAM for comfortable use
Fits on a single high-end GPU
Tested with Python 3.10, PyTorch 2.6.0, Transformers 4.57.1

Common Use Cases

Generating posters and banners with accurate text
Logo and brand asset creation
UI mockup and infographic generation
Marketing materials with embedded typography

Key Parameters

num_inference_steps: 50 recommended
guidance_scale: 5.0
resolution: 1024x1024 native
negative_prompt: Supported for quality control

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