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I had this dude in my mind for a long time so I made a 3D model of him, rendered him in Blender a few times and then trained a robot to generate him. No, he's not the human version of shadow the hedgehog or...
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.2739 Accuracy: 0.9310
I publish it here just for my personal use since I don't gen locally.
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.
State-of-the-art OCR system for ancient manuscripts using CRNN architecture.
Something small and cute - Chiikawa
Works best at 0.75 weight.
The model was presented in the paper Unified Continuous Generative Models.
The official model release of FG-MAE: Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing.
ONNX exports of the pretrained EasyPortrait portrait segmentation and face parsing checkpoints.
This model is a fine-tuned version of OpenAI CLIP trained for food image-text retrieval tasks. The model learns semantic alignment between food images and natural language captions, enabling multimodal retrieval and...
Exact text encoder artifact distributed with Wan2.1 I2V Lightx2v Step/CFG NVFP4 (v1.0).
Works best at 0.75 weight.
Heya! You can still support me with a thumbs-up if you enjoy this LoRA. 💛