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@@ -93,7 +93,7 @@ If you are getting too realistic images, try adding `painting` to your prompt, f
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  ## Related Tools
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- For streamlined dataset preparation, you can try an open-source tool that I made [GPT Image Captioner](https://gptcaptioner.aleksa.io/), a tool designed to generate AI-powered captions for images. This tool simplifies the auto-captioning process, providing a downloadable zip file with captions formatted for training pipelines. It is compatible with tools such as [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), enabling seamless integration into workflows. Users are required to bring their own OpenAI API key for usage.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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  ## Related Tools
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+ If you are training your own LoRA model and want a replacement for LLaVA auto captioning that some of the LoRA training apps use, you can try an open-source tool that I made [GPT Image Captioner](https://gptcaptioner.aleksa.io/), a tool designed to generate AI-powered captions for images. This tool simplifies the auto-captioning process, providing a downloadable zip file with captions formatted for training pipelines. It is compatible with tools such as [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), enabling seamless integration into workflows. Users are required to bring their own OpenAI API key for usage.
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  ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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