image-generation

To generate images from a structured JSON prompt, create a JSON file describing the subject, style, and composition, then run the included Python script with optional reference images to call the Gemini API and save outputs.

Reference-guided image generation uses input images to direct facial features, style, or product details. The Python workflow validates these reference images and incorporates them into the structured prompt for the Gemini API call.

Yes, you need a GEMINI_API_KEY available to the generate.py script. The script uses this key to authenticate and call the Gemini image generation API, producing the final high-quality image outputs.

Yes, this Python workflow is applicable to character design, scene composition, product visualization, and comic panel generation. It handles controlled prompts and reference-guided outputs to produce reliable visual results.

Yes, the workflow includes image validation for input reference images. The Python script validates the provided reference images before executing the Gemini API call to ensure reliable generation outputs.

Using structured JSON prompts requires strict formatting to capture subject, style, lighting, and technical specs. The workflow depends on external dependencies like the requests and Pillow libraries to process images and execute the API call.