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@@ -30,7 +30,7 @@ YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent
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  ## Intended uses & limitations
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- You can use the raw model for object detection. See the [model hub](https://huggingface.co/models?search=amd/yolov8) to look for all available YOLOv8 models.
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  ## How to use
@@ -40,8 +40,8 @@ we are generally focussed in providing 8m based models .
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  But one can use 8l, 8n or 8x models as these are trained on different image sizes and different image sets.
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  Generally the coco and openImage sets from ultralytics are taken for our comfyUI testing.
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  More info and general models for other inferences will be updated as they get trained.
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- check out for more details in the github for same
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- url = {https://github.com/jags111/ComfyUI_Jags_VectorMagic}
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  ## Intended uses & limitations
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+ You can use the raw model for object detection. See the [git hub](https://github.com/jags111/ComfyUI_Jags_VectorMagic) to look for all available YOLOv8 models.
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  ## How to use
 
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  But one can use 8l, 8n or 8x models as these are trained on different image sizes and different image sets.
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  Generally the coco and openImage sets from ultralytics are taken for our comfyUI testing.
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  More info and general models for other inferences will be updated as they get trained.
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+ check out for more details in the github for same [VECTOR MAGIC]
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+ (https://github.com/jags111/ComfyUI_Jags_VectorMagic)
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