What problem does it solve?
Generate high-quality images from natural language prompts using the wu CLI, enabling rapid visual concept generation and reducing manual artwork iteration.
Core Features & Use Cases
- Text-to-image generation: Create images from descriptive prompts using the wu image-gen command.
- Conditioning images: Attach one or more reference images with --image to guide style, lighting, or composition.
- Backend flexibility: Target Gemini, OpenAI, or Nim backends to suit latency, style, or policy requirements.
- Output control: Specify an output path with --output and integrate generated visuals into design pipelines, material references, or asset previews.
- Workflow integration: Use generated visuals to seed texture references, concept art, or validation visuals in content pipelines.
Quick Start
Execute wu image-gen <prompt> to generate an image, optionally including conditioning images with --image arguments, and specify --output for the resulting file.