{ "id": "04f1de76-e363-4c27-bec7-eb184ac6e476", "revision": 0, "last_node_id": 106, "last_link_id": 149, "nodes": [ { "id": 36, "type": "Note", "pos": [ 160, -1010 ], "size": [ 374.3061828613281, 171.9547576904297 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "fp8_fast seems to cause huge quality degradation\n\nfp_16_fast enables \"Full FP16 Accmumulation in FP16 GEMMs\" feature available in the very latest pytorch nightly, this is around 20% speed boost. \n\nSageattn if you have it installed can be used for almost double inference speed" ], "color": "#432", "bgcolor": "#653" }, { "id": 11, "type": "LoadWanVideoT5TextEncoder", "pos": [ 161.7229461669922, -501.2225036621094 ], "size": [ 377.1661376953125, 130 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "wan_t5_model", "type": "WANTEXTENCODER", "slot_index": 0, "links": [ 15 ] } ], "properties": { "Node name for S&R": "LoadWanVideoT5TextEncoder" }, "widgets_values": [ "umt5-xxl-enc-bf16.safetensors", "bf16", "offload_device", "disabled" ], "color": "#332922", "bgcolor": "#593930" }, { "id": 35, "type": "WanVideoTorchCompileSettings", "pos": [ -276.8500671386719, -1050.6326904296875 ], "size": [ 390.5999755859375, 178 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [ { "name": "torch_compile_args", "type": "WANCOMPILEARGS", "slot_index": 0, "links": [] } ], "properties": { "Node name for S&R": "WanVideoTorchCompileSettings" }, "widgets_values": [ "inductor", false, "default", false, 64, true ], "color": "#223", "bgcolor": "#335" }, { "id": 44, "type": "Note", "pos": [ -620.9041137695312, -1049.732421875 ], "size": [ 303.0501403808594, 88 ], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "If you have Triton installed, connect this for ~30% speed increase" ], "color": "#432", "bgcolor": "#653" }, { "id": 64, "type": "WanVideoTorchCompileSettings", "pos": [ -276.8500671386719, -1050.6326904296875 ], "size": [ 390.5999755859375, 178 ], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [ { "name": "torch_compile_args", "type": "WANCOMPILEARGS", "slot_index": 0, "links": [] } ], "properties": { "Node name for S&R": "WanVideoTorchCompileSettings" }, "widgets_values": [ "inductor", false, "default", false, 64, true ] }, { "id": 52, "type": "WanVideoTeaCache", "pos": [ 1334.42626953125, -588.2476196289062 ], "size": [ 315, 154 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [ { "name": "teacache_args", "type": "TEACACHEARGS", "links": [ 103 ] } ], "properties": { "Node name for S&R": "WanVideoTeaCache" }, "widgets_values": [ 0.1, 1, -1, "offload_device", "true" ] }, { "id": 53, "type": "Note", "pos": [ 1329.0076904296875, -810.7708740234375 ], "size": [ 324.64129638671875, 159.47401428222656 ], "flags": {}, "order": 6, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "TeaCache could be considered to be sort of an automated step skipper \n\nThe relative l1 threshold -value determines how aggressive this is, higher values are faster but quality suffers more. Very first steps should NEVER be skipped with this model or it kills the motion. When using the pre-calculated coefficients, the treshold value should be much higher than with the default coefficients." ], "color": "#432", "bgcolor": "#653" }, { "id": 28, "type": "WanVideoDecode", "pos": [ 1704.86572265625, -604.0441284179688 ], "size": [ 315, 174 ], "flags": {}, "order": 18, "mode": 0, "inputs": [ { "name": "vae", "type": "WANVAE", "link": 43 }, { "name": "samples", "type": "LATENT", "link": 33 } ], "outputs": [ { "name": "images", "type": "IMAGE", "slot_index": 0, "links": [ 145 ] } ], "properties": { "Node name for S&R": "WanVideoDecode" }, "widgets_values": [ false, 272, 272, 144, 128 ], "color": "#322", "bgcolor": "#533" }, { "id": 16, "type": "WanVideoTextEncode", "pos": [ 710.38916015625, -381.6058044433594 ], "size": [ 420.30511474609375, 261.5306701660156 ], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "name": "t5", "type": "WANTEXTENCODER", "link": 15 }, { "name": "model_to_offload", "shape": 7, "type": "WANVIDEOMODEL", "link": null } ], "outputs": 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