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"native_00011_.png", "image" ], "color": "#322", "bgcolor": "#533", "shape": 1 }, { "id": 517, "type": "ImageSharpen", "pos": [ -141.62449645996094, 42.9093132019043 ], "size": [ 210, 106 ], "flags": { "collapsed": false }, "order": 32, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 444 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 471 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.15", "Node name for S&R": "ImageSharpen", "widget_ue_connectable": {} }, "widgets_values": [ 1, 0.43, 0.3 ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 528, "type": "Note", "pos": [ -2735.588134765625, -597.2681274414062 ], "size": [ 594.38427734375, 367.19122314453125 ], "flags": { "collapsed": false }, "order": 13, "mode": 0, "inputs": [], "outputs": [], "properties": { "widget_ue_connectable": {} }, "widgets_values": [ "To change between t2v and i2v use the yellow toggle. ((1))\nOf course set the correct model when the mode is changed.\nFor amd gpu's try to use fp8_e5m2 or fp8_e5m2_scaled.(torch.compile works)\nWhen using gguf's you need to disable quantization.\nTo add loras just enable the group for the model and set the loras.\nOtherwise choose the model type you are using (e5m2 etc)\nThis has NAG integrated, it doesn't effect speed.\nYou can however just use only positive or NAG if want. ((2))\nEnhancements are optional but you check the effects yourself.\nOn output, vae is set to tiled. Values better than default.\nIf you want to generate an image, choose t2v and set num_frames to 1.\nEnable block_swap and use 15 and up if you see vram getting filled.\nYou can check it easily with AMD Performance Metrics Overlay.\nMake sure \"GPU Mem Util\" is around 15000 MB.\nif you have 16gb vram, this ensures best speeds. 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