Creative content generation based on reference images
CloudFlare-AI-Image's graph-to-graph functionality is built on the collaborative work of uploaded images and textual cues. The system first extracts the feature vectors of the reference image through a visual coder, and then combines them with textual cues to reorganize the content in the latent space.
Typical application scenarios include:
- Style conversion: convert photos to cartoon or oil painting style
- Content extension: generating complete scenes based on partial sketches
- Quality Enhancement: Enhanced detail in low-resolution images
The technical realization supports Base64-encoded image data transmission, and the degree of rewriting can be controlled by specifying the intensity parameter when calling through the API. For example, uploading building photos with the prompt "futuristic city" can generate images of buildings with a sense of science fiction. In practice, it is recommended to keep the theme consistency between the reference image and the cue word, and when the two are in conflict, the system gives priority to responding to text commands.
This feature is particularly well suited for designers to generate creative solutions quickly, with tests showing an average time from upload to generation of 12 seconds (based on the SD-XL model).
This answer comes from the articleAI Image Generation Scripts Based on Cloudflare WorkerThe
