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This model has been pushed to the Hub using the PytorchModelHubMixin integration: Code: Paper: Docs: [More Information Needed]
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved semantic understanding, localization, and dense features.
This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa dataset.
Base model: LTXV 2.3 Trained words: Remove the object from the foreground.
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Base model: LTXV 2.3 Trained words:
Weight: 1.0 - Cooperates with concept LoRAs, Finicky with other character LoRAs
Character LoRA (v1) for the Anima model family. Trained on 207 curated solo images with danbooru-tag captions (4 epochs, 1288 steps).
NAI-XL vpred1.0 2d accelerated - colorized
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 model is a fine-tuned version of nvidia/segformer-b5-finetuned-ade-640-640 on the AllanK24/apple-dms-materials dataset. It achieves the following results on the evaluation set: Loss: 1.2034 Mean Iou: 0.4595 Mean...
Paper | GitHub | Project Page
📸 Recommended Settings Used in Pictures
