From f599706b6b050df244f44552399445af3fe7f96c Mon Sep 17 00:00:00 2001 From: patientx Date: Tue, 2 Sep 2025 17:59:09 +0300 Subject: [PATCH] Add files via upload --- .../1step-cudnn-disabler-workflow.json | 433 +++ ...B TI2V Workflow (Kijai Wrapper Based).json | 1350 ++++++++ ...In-One Workflow (Kijai Wrapper Based).json | 2752 +++++++++++++++++ ...mfyui-Zluda- Qwen-Image-Edit-Workflow.json | 1133 +++++++ cfz/workflows/wan-image-to-video.json | 1361 ++++++++ cfz/workflows/wan-t2v-selfforcing.json | 1059 +++++++ cfz/workflows/wan-text-to-video.json | 1185 +++++++ cfz/workflows/wan2.2-cfz-workflow.json | 1687 ++++++++++ 8 files changed, 10960 insertions(+) create mode 100644 cfz/workflows/1step-cudnn-disabler-workflow.json create mode 100644 cfz/workflows/Comfyui-Zluda Wan 2.2 5B TI2V Workflow (Kijai Wrapper Based).json create mode 100644 cfz/workflows/Comfyui-Zluda Wan 2.2 All-In-One Workflow (Kijai Wrapper Based).json create mode 100644 cfz/workflows/Comfyui-Zluda- 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background, walking backward, backward movement, " + ], + "color": "#322", + "bgcolor": "#533", + "shape": 1 + }, + { + "id": 107, + "type": "WanVideoTextEmbedBridge", + "pos": [ + 1088.7071533203125, + 310.4274597167969 + ], + "size": [ + 222.00253295898438, + 46 + ], + "flags": { + "collapsed": true + }, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "link": 159 + }, + { + "name": "negative", + "shape": 7, + "type": "CONDITIONING", + "link": null + } + ], + "outputs": [ + { + "name": "text_embeds", + "type": "WANVIDEOTEXTEMBEDS", + "links": [ + 162 + ] + } + ], + "title": "negembed", + "properties": { + "cnr_id": "ComfyUI-WanVideoWrapper", + "ver": "c3ee35f3ece76e38099dc516182d69b406e16772", + "Node name for S&R": "WanVideoTextEmbedBridge", + "aux_id": "kijai/ComfyUI-WanVideoWrapper" + }, + "widgets_values": [], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 108, + "type": "WanVideoTextEmbedBridge", + "pos": [ + 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"65973b02514c6736f59923352102462e2129f80a", + "Node name for S&R": "WanVideoBlockSwap" + }, + "widgets_values": [ + 15, + false, + false, + false, + 0, + 0, + false + ], + "shape": 1 + }, + { + "id": 114, + "type": "Note", + "pos": [ + 244.76840209960938, + 137.03822326660156 + ], + "size": [ + 227.69973754882812, + 88 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "the width-height in resize is also for the video output" + ], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 115, + "type": "WanVideoTorchCompileSettings", + "pos": [ + 935.9613647460938, + -699.82470703125 + ], + "size": [ + 342.74609375, + 202 + ], + "flags": { + "collapsed": true + }, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "torch_compile_args", + "type": "WANCOMPILEARGS", + "links": [ + 183 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI-WanVideoWrapper", + "ver": "65973b02514c6736f59923352102462e2129f80a", + "Node name for S&R": "WanVideoTorchCompileSettings" + }, + "widgets_values": [ + "inductor", + false, + "default", + false, + 64, + true, + 128 + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 116, + "type": "Note", + "pos": [ + 567.8656616210938, + -693.3388061523438 + ], + "size": [ + 227.69973754882812, + 88 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "enable block swap starting with 15 for 8 gb gpu's" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 117, + "type": "Note", + "pos": [ + -273.99835205078125, + -878.1978149414062 + ], + "size": [ + 761.3303833007812, + 394.44818115234375 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "CFZ WAN 2.2 TI2V TURBO WORKFLOW\n--------------------------------\nTHE MAIN MODEL : You can use of these three options :\nfrom here , https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Wan22-Turbo\nyou can use (1) one of the loras with the original 5B model (https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/tree/main/TI2V) \n\n(2) use the fp16 model in there (https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Wan22-Turbo)\n\n(3) use this fp8_e5m2 version of that fp16 model\n(https://huggingface.co/patientxtr/wan22ti2v5bturbofp8e5m2/tree/main)\n\n* With option 1 and 3 you can enable torch.compile , make sure to set the \"quantization\" to either fp8_e5m2_scaled or fp8_e5m2. On the second option the quality is supposedly better than fp8 ones but you CAN'T USE torch.compile there.*\n\n* If you have less than 12GB VRAM, you can try enabling \"wanvideo block swap\", starting with 10 and going upwards, it basically loads that much of the blocks from the model into the system ram, slower but less oom. *\n\n*vae must be fp16 if you want speed, bf16 or fp32 two times slower on lower amd gpu*\n\n\n\n\n\n\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 118, + "type": "Note", + "pos": [ + 1545.399658203125, + -4.1734490394592285 + ], + "size": [ + 285.6707458496094, + 150.67262268066406 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "recommended schedulers : \nunipc/beta\nflowmatch_distill (4 steps only)\nlcm also works ...\n\n\n" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 119, + "type": "Note", + "pos": [ + 568.8112182617188, + -1171.026123046875 + ], + "size": [ + 988.755126953125, + 373.6380615234375 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "ChatGPT prompt to get prompts like the one below : \n-------------------------------------------------\nI want you to create prompts for image generation but in this style : \"Main Subject: A weary old man in his late seventies, slightly hunched, with deep lines on his face and thin white hair, wearing a worn flat cap. Clothing / Appearance: A faded brown wool coat drapes loosely over his thin frame, paired with threadbare trousers and scuffed leather shoes; a wool scarf, frayed at the ends, hangs loosely around his neck. Pose / Action: He sits on a weathered wooden bench, leaning forward with both hands extended, scattering breadcrumbs in a gentle, slow motion as small birds gather at his feet. Expression / Emotion: His eyes are tired but softened with quiet fondness, lips curled into a faint, almost wistful smile as he watches the birds peck at the ground. Camera Direction & Framing: Eye-level shot from three meters away, 50 mm f/1.8 lens with shallow depth to blur the park’s trees; composition balanced with the man to the left third, birds in the foreground. Environment / Background: An urban park at dusk with bare winter trees silhouetted against a fading orange-pink sky; scattered leaves cover the path; a distant lamppost glows faintly in the background. Lighting & Atmosphere: Soft, fading natural light from the sunset at 3200 K mixed with cool, early evening shadows; subtle rim lighting from a nearby lamppost; gentle haze from cold air. Style Enhancers: Warm cinematic color grading with desaturated tones, fine film grain, and subtle vignetting to focus attention; faint motion blur on falling crumbs to add life.\" Do not worry about the prompt itself, I am going to give you another subject, another environment and you will generate prompts like this.\n\nThen you paste any prompt (preferably the prompt you have for an image you already generated yourself) for an image and it will generate prompts suitable for wan video generation. " + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 29, + 22, + 0, + 27, + 0, + "WANVIDEOMODEL" + ], + [ + 88, + 38, + 0, + 70, + 0, + "WANVAE" + ], + [ + 102, + 78, + 0, + 27, + 1, + "WANVIDIMAGE_EMBEDS" + ], + [ + 133, + 71, + 0, + 70, + 1, + "IMAGE" + ], + [ + 134, + 58, + 0, + 71, + 0, + "IMAGE" + ], + [ + 152, + 38, + 0, + 102, + 0, + "WANVAE" + ], + [ + 153, + 27, + 0, + 102, + 1, + "LATENT" + ], + [ + 157, + 105, + 0, + 104, + 0, + "CLIP" + ], + [ + 158, + 105, + 0, + 106, + 0, + "CLIP" + ], + [ + 159, + 106, + 0, + 107, + 0, + "CONDITIONING" + ], + [ + 161, + 108, + 0, + 109, + 0, + "WANVIDEOTEXTEMBEDS" + ], + [ + 162, + 107, + 0, + 109, + 1, + "WANVIDEOTEXTEMBEDS" + ], + [ + 176, + 104, + 0, + 108, + 0, + "CONDITIONING" + ], + [ + 177, + 113, + 0, + 22, + 1, + "BLOCKSWAPARGS" + ], + [ + 178, + 102, + 0, + 92, + 0, + "IMAGE" + ], + [ + 179, + 109, + 0, + 27, + 2, + "WANVIDEOTEXTEMBEDS" + ], + [ + 180, + 70, + 0, + 78, + 1, + "LATENT" + ], + [ + 181, + 71, + 2, + 78, + 3, + "INT" + ], + [ + 182, + 71, + 1, + 78, + 2, + "INT" + ], + [ + 183, + 115, + 0, + 22, + 0, + "WANCOMPILEARGS" + ] + ], + "groups": [], + "config": {}, + "extra": { + "ds": { + "scale": 0.611590904484186, + "offset": [ + 496.07181525646797, + 1246.2396060293845 + ] + }, + "frontendVersion": "1.26.6", + "node_versions": { + "ComfyUI-WanVideoWrapper": "5a2383621a05825d0d0437781afcb8552d9590fd", + "comfy-core": "0.3.26", + "ComfyUI-KJNodes": "a5bd3c86c8ed6b83c55c2d0e7a59515b15a0137f", + "ComfyUI-VideoHelperSuite": "0a75c7958fe320efcb052f1d9f8451fd20c730a8" + }, + "VHS_latentpreview": false, + "VHS_latentpreviewrate": 0, + "VHS_MetadataImage": true, + "VHS_KeepIntermediate": true + }, + "version": 0.4 +} \ No newline at end of file diff --git a/cfz/workflows/Comfyui-Zluda Wan 2.2 All-In-One Workflow (Kijai Wrapper Based).json b/cfz/workflows/Comfyui-Zluda Wan 2.2 All-In-One Workflow (Kijai Wrapper Based).json new file mode 100644 index 000000000..95f073f64 --- /dev/null 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"MODEL", + "links": [] + } + ], + "properties": { + "cnr_id": "gguf", + "ver": "2.1.1", + "Node name for S&R": "LoaderGGUF", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "wan\\wan2.1-t2v-14b-Q4_K_M.gguf" + ], + "color": "#233", + "bgcolor": "#355", + "shape": 1 + }, + { + "id": 66, + "type": "Note", + "pos": [ + 341.1225280761719, + 455.7093811035156 + ], + "size": [ + 554.0267333984375, + 336.017822265625 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "GENERAL NOTES : \n\n*** after the first run , the cudnn toggle at the end disables cudnn, overall it is better for vae decoding but know that until next time you restart comfyui or enable the first cudnn toggle after model which enables cudnn , cudnn would stay disabled -only useful in a number of nodes anyway-\n\n\n*** frame-interpolation works great (https://github.com/Fannovel16/ComfyUI-Frame-Interpolation) , at my settings it doubles the framerate and plays it at 30 fps /wan by default produces videos at 16fps so it kinda works.\n\n*** have a clean-vram-used node after vae-decoding , good for memory overflowing from previous run. it was from comfyui-easy-use nodepack but there are other similar solutions in other packs.\n\n*** vae decode tiled is for backup purposes, and a tip always generate with fixed seed so that you can try with tiled vae or change the frame interpolation as you like without regenerating again.\n\n\n\n" + ], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 68, + "type": "Note", + "pos": [ + 245.94351196289062, + -524.6298217773438 + ], + "size": [ + 266.9047546386719, + 199.59521484375 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "sage-attention sometimes works, sometimes doesn't :/ it certainly helps with speed though. this is from kijai's node pack. you can delete it and try starting comfy with --use-sage-attention which enables sa always , but if you get black or garbled output don't use it." + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 52, + "type": "VAEDecodeTiled", + "pos": [ + 975.27978515625, + 310.5162658691406 + ], + "size": [ + 210, + 150 + ], + "flags": { + "collapsed": true + }, + "order": 17, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 107 + }, + { + "name": "vae", + "type": "VAE", + "link": 101 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.34", + "Node name for S&R": "VAEDecodeTiled", + "widget_ue_connectable": {} + }, + "widgets_values": [ + 384, + 64, + 64, + 8 + ], + "shape": 1 + }, + { + "id": 62, + "type": "PathchSageAttentionKJ", + "pos": [ + 298.1212158203125, + -274.2027587890625 + ], + "size": [ + 210, + 58 + ], + "flags": {}, + "order": 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keep it bypassed like this." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 3, + "type": "KSampler", + "pos": [ + 880.4493408203125, + -16.047531127929688 + ], + "size": [ + 254.697265625, + 262 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 95 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 46 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 52 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 91 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 106 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "KSampler", + "widget_ue_connectable": {} + }, + "widgets_values": [ + 98782555705765, + "fixed", + 8, + 1, + "uni_pc", + "normal", + 1 + ], + "shape": 1 + }, + { + "id": 48, + "type": "ModelSamplingSD3", + "pos": [ + 885.1832885742188, + -139.96681213378906 + 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+ "type": "VAE", + "link": null + } + ], + "outputs": [ + { + "name": "Filenames", + "type": "VHS_FILENAMES", + "links": null + } + ], + "properties": { + "cnr_id": "comfyui-videohelpersuite", + "ver": "1.6.1", + "Node name for S&R": "VHS_VideoCombine", + "widget_ue_connectable": {} + }, + "widgets_values": { + "frame_rate": 30, + "loop_count": 0, + "filename_prefix": "video\\wan", + "format": "video/h264-mp4", + "pix_fmt": "yuv420p", + "crf": 19, + "save_metadata": true, + "trim_to_audio": false, + "pingpong": false, + "save_output": true, + "videopreview": { + "hidden": false, + "paused": false, + "params": { + "filename": "wan_00062.mp4", + "subfolder": "video", + "type": "output", + "format": "video/h264-mp4", + "frame_rate": 30, + "workflow": "wan_00062.png", + "fullpath": "D:\\sd\\ComfyUI-Zluda\\output\\video\\wan_00062.mp4" + } + } + }, + "shape": 1 + }, + { + "id": 40, + "type": "EmptyHunyuanLatentVideo", + "pos": [ + -11.413797378540039, + 313.84246826171875 + ], + "size": [ + 210.09432983398438, + 130 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 91 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "EmptyHunyuanLatentVideo", + "widget_ue_connectable": {} + }, + "widgets_values": [ + 192, + 256, + 33, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 70, + "type": "Note", + "pos": [ + -517.0712280273438, + -237.5079345703125 + ], + "size": [ + 328.97320556640625, + 377.2618713378906 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "model is very good, has two accelerator loras a few other merged, can give acceptable gens starting from 8 steps / you can try lower.\n\nmodel :\n\nhttps://huggingface.co/vrgamedevgirl84/Wan14BT2V_MasterModel\n\nclip : default clip from comfyui. \n\nyou can also try gguf's of this model but I don't think it would do better speedwise. \n\nhttps://huggingface.co/lym00/Wan14BT2V_MoviiGen_AccVid_CausVid_MasterModel_GGUF/tree/main" + ], + "color": "#233", + "bgcolor": "#355", + "shape": 1 + }, + { + "id": 6, + "type": "CLIPTextEncode", + "pos": [ + 288.0953063964844, + -66.2231674194336 + ], + "size": [ + 529.1277465820312, + 380.0511169433594 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 74 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 46 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "CLIPTextEncode", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "Drone camera captures a golden sand cloud fills the entire scene on a darkened beach. Within the swirling dust, the word \"comfyui\" slowly forms, floating mid-air in elegant sand particles. The letters shimmer briefly and begin to dissolve, crumbling grain by grain into a drifting spiral of sand.As the sand spreads and swirls downward, it begins to build a majestic sandcastle. Towers rise, arches take shape, and the sand elegantly forms detailed walls and turrets — all constructed naturally as if shaped by wind and time. A blue fireworks shoots from the ground to the sky, brightening the area with blue light. The final frame reveals a complete, photorealistic sandcastle glowing in warm sunlight.the animation ends in a clean, steady freeze frame on the finished castle." + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 67, + "type": "Note", + "pos": [ + -115.73504638671875, + 489.02178955078125 + ], + "size": [ + 416.0177917480469, + 356.63983154296875 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "*** these resolutions work aka do not produce black output. (TRY OTHERS)\n192x256 \n240x320\n368x480\n368x512\n384x512\n480x720\n576x720\n... \n\n*** start from lowest resolution with 33 frames, go higher from that. Too high a frame count either produces black output or even if it works, model looses context and new things start to appear suddenly in the video. 49 is a sweet spot, with frame doubling that results in a 3+ second video. And it doesn't give oom or black output. After a certain point it won't fit into vram + system ram than it would start to be very slow. My advice start from the bottom with the same prompt of your choosing and keep raising the values." + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 63, + "type": "VAEDecode", + "pos": [ + 1438.8502197265625, + -28.115020751953125 + ], + "size": [ + 140, + 46 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 115 + }, + { + "name": "vae", + "type": "VAE", + "link": 116 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 117, + 124 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "VAEDecode", + "widget_ue_connectable": {} + }, + "widgets_values": [], + "shape": 1 + }, + { + "id": 65, + "type": "easy cleanGpuUsed", + "pos": [ + 1508.6458740234375, + -172.4692840576172 + ], + "size": [ + 157.38925170898438, + 26 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "anything", + "type": "*", + 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LORAS", + "properties": {}, + "widgets_values": [ + "models : (need e5m2 if we want to be able to torch.compile (some speed gain))\n-----------------------------------------------------------------------------\nwan 2.2 high_noise model (1st sampler)\n\nhttps://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/blob/main\n/T2V/Wan2_2-T2V-A14B-HIGH_fp8_e5m2_scaled_KJ.safetensors\n\nwan 2.2 low_noise model (2nd sampler)\n\nhttps://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/blob/main/T2V/Wan2_2-T2V-A14B-LOW_fp8_e5m2_scaled_KJ.safetensors\n\nt5 clip bf16 version (native comfyui uses fp8 BUT with kijai this is a must , also kijai's textencode cached node enables the prompts to be cached so that when you use a prompt again t5 clip doesn't work on it and if both prompts have been cached (have been used before in short) then t5 clip won't even get loaded into memory at all. this saves a lot of time and vram.\n\nhttps://huggingface.co/Kijai/WanVideo_comfy/blob/main/umt5-xxl-enc-bf16.safetensors\n\nlighting loras for both wan 2.2 models (these should be strength 1)\n\nhttps://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan22-Lightning/Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16.safetensors\n\nhttps://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan22-Lightning/Wan2.2-Lightning_T2V-A14B-4steps-lora_LOW_fp16.safetensors\n\n* lightxv2 can also be used on the low_noise model instead of lightning but strength should be 3\n\nhttps://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors\n\n\n\n" + ], + "color": "#322", + "bgcolor": "#533", + "shape": 1 + }, + { + "id": 503, + "type": "WanVideoBlockSwap", + "pos": [ + -1906.3485107421875, + -582.9523315429688 + ], + "size": [ + 281.404296875, + 154 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "block_swap_args", + "type": "BLOCKSWAPARGS", + "links": [ + 399, + 400 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI-WanVideoWrapper", + "ver": "78a7e20838a8944cbbfee0d58abd886a1d34ed76", + "Node name for S&R": "WanVideoBlockSwap" + }, + "widgets_values": [ + 25, + false, + false, + false, + 0 + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 504, + "type": "Note", + "pos": [ + -2428.52685546875, + -306.15814208984375 + ], + "size": [ + 683.9135131835938, + 650.9985961914062 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "SETTINGS", + "properties": {}, + "widgets_values": [ + "this is based on a 16 gb rx 6800 -the gpu isn't important vram is- with 32gb sys ram\n-------------------------------------------------------------------------------------\nwanvideo block swap : lets you offload some of the model into system ram instead of ram. basically the models are 40 blocks in this case, so a value of 20 loads half of it into the system ram. for single frame image generation and something like 512x384x33 or 41 .. 15 is enough. you would have to raise it to avoid getting out of memory or huge slowdowns, 20 and when you go something like 832x480x81 for example, 25. you can go higher, but the higher you go the slower the generation will be albeit it will not crash at least.\n\ntorch compile : the settings here work with the latest default installation of comfyui-zluda it makes something like 10-15 percent difference for me. the first time you run a model in a comfy run it compiles then it won't. even then it is not so slow.\n\nwanvideo model loader : the settings here are best for the e5m2 model I recommend. If you use e4m3fn or other this settings here will show errors and also torch.compile won't really work (on amd unless you got the latest gpu, e5m2 is best -not quality wise mind you, speedwise)\n\nksamplers (high_noise - low_noise) : you enter the same step on both, and divide it into two parts, equal ideally, so like 3-3 or 4-4 (6 and 8 steps and recommended for use with lightning loras with wan 2.2) If you want to divide something like 2-4 or 3-5 (with 8 steps of course) you have to enter this number in end_step in ksampler 1 (high_noise) and start step in ksampler 2 (low_noise). CFG must be 1. Best scheduler is euler. \n\nvideo enchancements group : you can delete or disable them, these are things people have used that I incorporated from other workflows. You can try with and without them keeping the seed same, so you can see the difference. These effects the output. But not the speed.\n\nwanvideo decode : these settings are what I found the best for 16gb vram gpu's , we have to use tiled one way or another , but instead of using the default values these values drop the vae decoding time exactly in half compared to the default values here. 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