I've fine-tuned three types of PaliGemma image captioner models for generating prompts for Text2Image models. They generate captions similar to prompts we give to the image generation models. I used google/docci and google/imageinwords datasets for fine-tuning. 
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I've fine-tuned three types of PaliGemma image captioner models for generating prompts for Text2Image models. They generate captions similar to prompts we give to the image generation models. I used google/docci and google/imageinwords datasets for fine-tuning. 
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This one gives you longer captions. 
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This one gives you longer captions. 
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https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner
gokaygokay/SD3-Long-Captioner
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https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner
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This one gives you middle size captions. 
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This one gives you middle size captions. 
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https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner-V2
https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner-V2
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And this one gives you shorter captions. 
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And this one gives you shorter captions. 
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https://huggingface.co/spaces/gokaygokay/SDXL-Captioner
https://huggingface.co/spaces/gokaygokay/SDXL-Captioner
link
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I've fine-tuned three types of PaliGemma image captioner models for generating prompts for Text2Image models. They generate captions similar to prompts we give to the image generation models. I used google/docci and google/imageinwords datasets for fine-tuning. 

This one gives you longer captions. 

https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner

This one gives you middle size captions. 

https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner-V2

And this one gives you shorter captions. 

https://huggingface.co/spaces/gokaygokay/SDXL-Captioner


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