This is great! Florence 2 is an amazing model for its size but it hallucinates a lot in terms of positioning and color, that's reduced with this model but I think it still persists
Yatharth Gupta
Warlord-K
AI & ML interests
Generative AI, Natural Language Processing, Reinforcement Learning
Recent Activity
updated a model 1 day ago
Kanha-AI/02396b03-8808-4840-a742-4d170be3edab-medium published a model 1 day ago
Kanha-AI/02396b03-8808-4840-a742-4d170be3edab-medium updated a model 1 day ago
Kanha-AI/02396b03-8808-4840-a742-4d170be3edab-largeOrganizations
repliedto gokaygokay's post almost 2 years ago
repliedto gokaygokay's post almost 2 years ago
What are your thoughts on Florence2? Do you think finetuning it on these datasets will help on the captioning task?
reactedto gokaygokay's post with ❤️ almost 2 years ago
Post
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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.
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
This one gives you longer captions.
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
- 10 replies
repliedto their post almost 2 years ago
Do you mean the consistency between generations? Could you elaborate a little?
repliedto their post almost 2 years ago
That'd be really cool indeed!
