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A while back, I posted about Chroma, my work-in-progress, open-source foundational model. I got a ton of great feedback, and I'm excited to announce that the base model training is finally complete, and the whole...
Works best at 0.75 weight.
This model was trained by wyz based on the universalsev1 recipe in espnet. More information can be found at
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trained on 36 images created solely by prompts and bodysliders, 18 vectors, learning rate 0.004, 15 steps pr image/embedding and 1650 steps in total. Responds well to all manner of checkpoints.
INT8-quantized ONNX models for running SAM3 (Segment Anything Model 3) entirely in the browser via ONNX Runtime Web.
This model is a fine-tuned version of google/vit-base-patch16-224 designed to identify the exact ripening stage of a tomato. It was trained on the extensive FreshCheck dataset to provide highly accurate agricultural...
This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
ParchartXL - art on parchment
Works best at 0.75 weight.
I have a form for requests now; check it out if you want to request a character.
