Unofficial ONNX export of pixai-labs/pixai-tagger-v1.0 in FP32, FP16 and INT8. Runs with ONNX Runtime only. - Input input: float32 [batch, 3, 1008, 1008], RGB, NCHW. - Output prediction: float32 [batch, 30877], probabilities (sigmoid is part of the graph). - Opset 17. training cutoff, and are also scored against their Danbooru tags. - FP16 is meant for GPUs. On CPU it is slower than FP32, because the CPU has no native FP16 math. - FP32 fits on a 4 GB GPU only barely (3.2 GB VRAM), and its speed varies between runs. - INT8 speed depends on CPU support for VNNI instructions. On older CPUs it can be slower than FP32. - Peak RAM on CPU includes session initialization; FP32 briefly reaches 9.4…