Ovis-Image ComfyUI Workflow Example

• Strong Text Rendering at 7B Scale: Delivers text rendering quality comparable to much larger 20B-class systems like Qwen-Image and competitive with leading closed-source models like GPT4o in text-centric scenarios
• High Fidelity on Text-Heavy Prompts: Excels on prompts that demand tight alignment between linguistic content and rendered typography (e.g., posters, banners, logos, UI mockups, infographics)
• Accurate Bilingual Text Rendering: Produces legible, correctly spelled, and semantically consistent text in both Chinese and English across diverse fonts, sizes, and aspect ratios
• Efficiency and Deployability: Fits on a single high-end GPU with moderate memory, supports low-latency interactive use

• GitHub
• Hugging Face

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Ovis-Image text-to-image workflow

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Ovis-Image Text to Image

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Model links

• ovis_2.5.safetensors

• ovis_image_bf16.safetensors

• ae.safetensors

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 text_encoders/
│   │      └── ovis_2.5.safetensors
│   ├── 📂 diffusion_models/
│   │      └── ovis_image_bf16.safetensors
│   └── 📂 vae/
│          └── ae.safetensors