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A big part of training image models is managing image data: curating and annotating datasets, evaluating model outputs...
Watch my colleague @MBrenon present how we (@finegrain_ai) self-host @Voxel51 and CVAT to achieve this: https://t.co/RmWTvWrhZb
The goal of @finegrain_ai has always been to *automate* image edition. One way to do this is by using our API with LLM tool calling. Here is an example of what you can do with ChatGPT in just a few days (the code is open source: https://t.co/atXSwa2PUE)
Inspiring Hacktober hackathon at the @Shopware HQ.
I was getting all the feels during the demos. So great to have so many committed (😉) community members and current & ex-employees spend two days learning & coding.
Open source is organicly fantastic & inherently empowering!
🤯 Photoshop, but with your words
@finegrain_ai just dropped a new model to create HD cutouts for any object in an image using just a text prompt
⚗️ Synthetic data-trained
📜 MIT license
Tested on a busy pic—mind-blowing results!
#AI#ImageEditing
@finegrain_ai's take on background removal: controllable (what is background vs. foreground often depends on users) and Open Source (MIT License)! Feel free to give it a try on our dedicated Hugging Face space: https://t.co/iqxneFaf4p
Made a @huggingface space to demonstrate one of the models we trained at @finegrain_ai: the Object Eraser. Pretty happy everyone can try it publicly at last. :)
https://t.co/CbrvJD9fsM
Just published a post on @finegrain_ai's blog about achieving faster inference with Refiners using Latent Consistency Models and SDXL Lightning.
https://t.co/Nor6ZgjY2a
Thrilled to present Refiners at #FOSDEM's AI and ML devroom last week-end! 🎉 Check out our brand new docs (https://t.co/Vtwo1kWkmI) and the release of v0.3.0 🚀 #AI#ML
We (@finegrain_ai) had a small documentation sprint on our Open Source model adaptation microframework Refiners, and now we have a website up: https://t.co/KgdIMw24Uv
If you attend #FOSDEM come meet us on Sunday! https://t.co/8A59fhD4A1