Update README.md

README.md

@@ -93,7 +93,7 @@ If you are getting too realistic images, try adding `painting` to your prompt, f
 
 # Related Tools
 
-If you're training your own LoRA model and need a replacement for LLaVA auto captioning that some LoRA training apps use, try [GPT Image Captioner](https://gptcaptioner.aleksa.io/), an open-source tool I created that generates AI-powered descriptions for images. This tool streamlines the auto-captioning process by providing a downloadable zip file with caption .txt files that match your image filenames. It integrates seamlessly with platforms like [fal LoRA Trainer](https://fal.ai/models/fal-ai/flux-lora-fast-training) and [Replicate LoRA Trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train).
+If you're training your own LoRA model and need a replacement for LLaVA auto captioning that some LoRA training apps use, try [GPT Image Captioner](https://gptcaptioner.aleksa.codes/), an open-source tool I created that generates AI-powered descriptions for images. This tool streamlines the auto-captioning process by providing a downloadable zip file with caption .txt files that match your image filenames. It integrates seamlessly with platforms like [fal LoRA Trainer](https://fal.ai/models/fal-ai/flux-lora-fast-training) and [Replicate LoRA Trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train).
 
 The tool now supports Ollama for local inference in addition to OpenAI models, which require your own API key. You can use it as a web app or clone/fork the repository to run it locally. For Ollama integration with the web version, you may need to set up a tunnel like ngrok or allow additional web origins. More information can be found in the project's README.