polym-autocase-image-gen

Automating gpt-image-2 generation involves driving a controlled Chrome browser to open the AutoCase playground, select the ChatGPT-image-2 model, submit prompts, and capture the generated output. This process removes manual steps by using DOM polling for completion verification and saving the final image to your filesystem.

Yes, you can use local reference images for image-to-image generation. The automation workflow supports uploading one or more local image paths to a hidden file input in the AutoCase UI, allowing the ChatGPT-image-2 model to process reference photos alongside your text prompts.

Completion detection in the AutoCase playground works by polling the browser document text for a specific total-time completion marker. This deterministic verification ensures the generated image is fully rendered before the automation saves the final output from the viewer.

No, manual file management is not required. The automation captures the generated image and automatically saves it to Downloads. It then moves and renames the file to your requested destination path, streamlining the output retrieval process for gpt-image-2 results.

The best way to generate high-quality images without manual UI interaction is using end-to-end Chrome automation. This approach drives the browser to select ChatGPT-image-2, submit prompts, verify completion via DOM polling, and save the final output entirely hands-free.