Glm Image@Zhipu | Image Generation | VFast AI - All-in-one generative AI platform for everyone

What

Glm Image@Zhipu appears to be an image generation model offered inside the VFast AI platform, which presents itself as an all-in-one generative AI environment. Based on the page content, the tool lets users enter a text prompt, choose an aspect ratio, set the number of outputs, and generate images from that input.

It likely serves individuals or teams that need a simple web-based way to create AI images without using a standalone model interface. From the available evidence, the product is positioned as a lightweight image generation option within a broader suite that also includes image editing, video generation, and related AI creative tools.

Features

• Text-to-image generation: Users can submit a prompt to create images, making it suitable for fast concept visualization and creative exploration.
• Aspect ratio selection: The interface supports multiple preset ratios including 1:1, 3:4, 9:16, 4:3, and 16:9, which helps tailor outputs to different content formats.
• Multiple output quantity options: Users can request 1 to 4 generations at a time, which is useful for comparing variations from the same prompt.
• Visibility control: A public visibility toggle is shown, indicating that users can manage whether generations are publicly visible or not.
• Temporary retention for private generations: The page states that non-publicly visible generations are retained for 72 hours, which is important for planning downloads and review workflows.
• Generation history area: A “My Generations” section is present, suggesting users can review prior outputs within the platform, although the page does not describe advanced organization features.

Helpful Tips

• Check retention rules early: Since the page says non-public generations are kept for 72 hours, teams should download or archive important assets promptly.
• Match aspect ratio to channel before generating: Choosing the right format up front reduces rework when creating assets for social posts, presentations, or video thumbnails.
• Use multi-output generation for prompt testing: Generating several variations at once can speed up prompt refinement when exploring style, composition, or subject options.
• Confirm governance needs separately: The page shows visibility settings, but it does not provide detailed information about permissions, collaboration controls, or enterprise asset management.
• Evaluate it as part of the wider platform: Because VFast AI includes other image and video tools, buyers should assess whether the broader workflow matters more than the image model alone.

OpenClaw Skills

Within the OpenClaw ecosystem, this product could likely support creative automation skills centered on prompt generation, campaign asset production, and image variant routing. A likely workflow would be an OpenClaw agent that takes a marketing brief, generates multiple prompt options, selects the appropriate aspect ratio for each channel, triggers image creation in VFast AI, and organizes outputs for review. The source page does not confirm native integration, so this should be treated as a probable orchestration use case rather than a documented capability.

For design, content, and growth teams, that combination could shift image generation from a manual one-off task into a repeatable production workflow. OpenClaw skills could likely be built for brand-safe prompt templating, creative brief expansion, A/B visual concept generation, and short-retention asset monitoring so teams do not lose private outputs after 72 hours. In practice, this would be most useful in content operations and lightweight creative production environments where speed and format control matter more than deeply specialized design tooling.