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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.
This is a continued pretrained version of Florence-2-large model with 4k context length, only 0.1B samples are used for continue pretraining, thus it might not be trained well. In addition, OCR task has been updated...
Base model: LTXV 2.3 Trained words:
For a convenient overview and download list, visit our model page for this model.
Works best at 0.75 weight.
another merger
You can use the online workflow below. If the results are good, you can then try setting it up and running it locally.
Base model: LTXV 2.3 Trained words: pussyjob
Hugging Face | GitHub | Launch Blog | Documentation
Hugging Face | GitHub | Launch Blog | Documentation
Flux is a Java-based OCR
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and straightforward to train and scale effectively. Some AIMv2 highlights include:
A SigLIP 2 ViT (image encoder only) for timm. Equivalent to image tower from
Prebuilt Hexagon NPU (HNPU) artifacts for nvidia/parakeet-tdt-0.6b-v3.
