- 40 workflow templates (text-to-image, image-to-video, image-to-image, text-to-music, upscaling, advanced, nsfw) - Color-coded placeholder preview images using Pillow - Template-only extension (no custom nodes) - Preview generation script for future workflow additions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
421 lines
10 KiB
JSON
421 lines
10 KiB
JSON
{
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"last_node_id": 8,
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"last_link_id": 10,
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"nodes": [
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{
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"id": 1,
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"type": "LoadImage",
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"pos": [50, 100],
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"size": [315, 314],
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"widgets_values": ["input_frame.png", "image"],
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"title": "API Input Image",
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"flags": {},
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"order": 0,
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"mode": 0,
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"properties": {
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"Node name for S&R": "LoadImage"
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},
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"outputs": [
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{
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"name": "IMAGE",
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"type": "IMAGE",
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"links": [1],
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"slot_index": 0
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},
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{
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"name": "MASK",
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"type": "MASK",
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"links": null
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}
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]
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},
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{
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"id": 2,
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"type": "DownloadAndLoadCogVideoModel",
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"pos": [50, 500],
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"size": [350, 100],
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"widgets_values": ["THUDM/CogVideoX-5b-I2V", "bf16", "disabled", true],
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"title": "CogVideoX-5b-I2V Loader",
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"flags": {},
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"order": 1,
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"mode": 0,
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"properties": {
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"Node name for S&R": "DownloadAndLoadCogVideoModel"
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},
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"outputs": [
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{
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"name": "model",
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"type": "COGVIDEOMODEL",
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"links": [2],
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"slot_index": 0
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},
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{
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"name": "vae",
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"type": "VAE",
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"links": [3, 10],
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"slot_index": 1
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}
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]
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},
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{
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"id": 7,
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"type": "CLIPLoader",
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"pos": [50, 650],
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"size": [350, 100],
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"widgets_values": ["t5xxl_fp16.safetensors", "sd3"],
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"title": "T5 CLIP Loader",
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"flags": {},
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"order": 2,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CLIPLoader"
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},
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"outputs": [
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{
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"name": "CLIP",
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"type": "CLIP",
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"links": [4, 5],
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"slot_index": 0
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}
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]
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},
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{
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"id": 3,
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"type": "CogVideoTextEncode",
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"pos": [450, 100],
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"size": [400, 200],
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"widgets_values": ["Camera movement description, action, scene details", 1, false],
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"title": "API Video Prompt (Positive)",
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"flags": {},
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"order": 3,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CogVideoTextEncode"
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},
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"inputs": [
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{
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"name": "clip",
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"type": "CLIP",
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"link": 4
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}
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],
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"outputs": [
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{
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"name": "conditioning",
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"type": "CONDITIONING",
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"links": [6],
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"slot_index": 0
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},
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{
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"name": "clip",
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"type": "CLIP",
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"links": null
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}
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]
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},
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{
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"id": 8,
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"type": "CogVideoTextEncode",
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"pos": [450, 350],
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"size": [400, 200],
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"widgets_values": ["low quality, blurry, distorted, watermark", 1, true],
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"title": "API Video Prompt (Negative)",
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"flags": {},
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"order": 4,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CogVideoTextEncode"
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},
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"inputs": [
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{
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"name": "clip",
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"type": "CLIP",
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"link": 5
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}
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],
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"outputs": [
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{
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"name": "conditioning",
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"type": "CONDITIONING",
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"links": [7],
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"slot_index": 0
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},
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{
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"name": "clip",
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"type": "CLIP",
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"links": null
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}
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]
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},
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{
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"id": 9,
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"type": "CogVideoImageEncode",
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"pos": [450, 600],
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"size": [315, 100],
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"widgets_values": [],
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"title": "Encode Input Image",
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"flags": {},
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"order": 5,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CogVideoImageEncode"
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},
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"inputs": [
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{
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"name": "vae",
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"type": "VAE",
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"link": 3
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},
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{
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"name": "start_image",
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"type": "IMAGE",
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"link": 1
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}
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],
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"outputs": [
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{
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"name": "samples",
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"type": "LATENT",
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"links": [8],
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"slot_index": 0
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}
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]
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},
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{
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"id": 4,
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"type": "CogVideoSampler",
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"pos": [900, 100],
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"size": [315, 474],
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"widgets_values": [49, 50, 6.0, 42, "fixed", "CogVideoXDDIM", 1.0],
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"title": "CogVideoX Sampler (6s @ 8fps)",
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"flags": {},
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"order": 6,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CogVideoSampler"
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},
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"inputs": [
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{
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"name": "model",
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"type": "COGVIDEOMODEL",
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"link": 2
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},
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{
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"name": "positive",
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"type": "CONDITIONING",
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"link": 6
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},
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{
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"name": "negative",
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"type": "CONDITIONING",
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"link": 7
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},
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{
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"name": "image_cond_latents",
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"type": "LATENT",
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"link": 8
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}
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],
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"outputs": [
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{
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"name": "samples",
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"type": "LATENT",
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"links": [9],
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"slot_index": 0
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}
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]
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},
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{
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"id": 5,
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"type": "CogVideoDecode",
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"pos": [1250, 100],
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"size": [315, 200],
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"widgets_values": [true, 240, 360, 0.25, 0.25],
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"title": "VAE Decode Video",
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"flags": {},
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"order": 7,
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"mode": 0,
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"properties": {
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"Node name for S&R": "CogVideoDecode"
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},
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"inputs": [
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{
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"name": "vae",
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"type": "VAE",
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"link": 10
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},
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{
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"name": "samples",
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"type": "LATENT",
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"link": 9
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}
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],
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"outputs": [
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{
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"name": "images",
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"type": "IMAGE",
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"links": [11],
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"slot_index": 0
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}
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]
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},
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{
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"id": 6,
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"type": "VHS_VideoCombine",
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"pos": [1600, 100],
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"size": [315, 200],
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"widgets_values": [8, 0, "cogvideox_output", "video/h264-mp4", "yuv420p", 19, true, false],
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"title": "Combine Video Frames",
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"flags": {},
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"order": 8,
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"mode": 0,
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"properties": {
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"Node name for S&R": "VHS_VideoCombine"
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},
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"inputs": [
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{
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"name": "images",
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"type": "IMAGE",
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"link": 11
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}
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],
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"outputs": [
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{
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"name": "Filenames",
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"type": "VHS_FILENAMES",
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"links": null
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}
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]
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}
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],
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"links": [
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[1, 1, 0, 9, 1, "IMAGE"],
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[2, 2, 0, 4, 0, "COGVIDEOMODEL"],
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[3, 2, 1, 9, 0, "VAE"],
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[4, 7, 0, 3, 0, "CLIP"],
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[5, 7, 0, 8, 0, "CLIP"],
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[6, 3, 0, 4, 1, "CONDITIONING"],
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[7, 8, 0, 4, 2, "CONDITIONING"],
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[8, 9, 0, 4, 3, "LATENT"],
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[9, 4, 0, 5, 1, "LATENT"],
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[10, 2, 1, 5, 0, "VAE"],
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[11, 5, 0, 6, 0, "IMAGE"]
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],
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"groups": [],
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"config": {},
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"extra": {
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"workflow_info": {
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"name": "CogVideoX Image-to-Video Production",
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"version": "1.2.0",
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"description": "AI-driven image-to-video using CogVideoX-5b-I2V. Generate 6-second videos (49 frames @ 8fps) from input images with camera movement and action.",
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"category": "image-to-video",
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"tags": ["cogvideox", "i2v", "video-generation", "production"],
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"requirements": {
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"models": ["CogVideoX-5b-I2V", "T5-XXL FP16"],
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"custom_nodes": ["ComfyUI-VideoHelperSuite", "ComfyUI-CogVideoXWrapper"],
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"vram_min": "20GB",
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"vram_recommended": "24GB"
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},
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"parameters": {
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"input_image": {
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"node_id": 1,
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"widget_index": 0,
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"type": "image",
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"required": true,
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"description": "Starting frame for video generation"
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},
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"positive_prompt": {
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"node_id": 3,
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"widget_index": 0,
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"type": "string",
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"required": true,
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"default": "Camera movement description, action, scene details",
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"description": "Describe desired camera movement, actions, and scene"
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},
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"negative_prompt": {
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"node_id": 8,
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"widget_index": 0,
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"type": "string",
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"required": false,
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"default": "low quality, blurry, distorted, watermark",
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"description": "Undesired elements to avoid"
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},
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"num_frames": {
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"node_id": 4,
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"widget_index": 0,
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"type": "integer",
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"required": false,
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"default": 49,
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"min": 1,
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"max": 1024,
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"description": "Number of frames to generate (49 = ~6s @ 8fps)"
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},
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"steps": {
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"node_id": 4,
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"widget_index": 1,
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"type": "integer",
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"required": false,
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"default": 50,
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"min": 20,
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"max": 100,
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"description": "Sampling steps (50 recommended for quality)"
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},
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"cfg": {
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"node_id": 4,
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"widget_index": 2,
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"type": "float",
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"required": false,
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"default": 6.0,
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"min": 1.0,
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"max": 30.0,
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"description": "Classifier-free guidance scale"
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},
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"seed": {
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"node_id": 4,
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"widget_index": 3,
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"type": "integer",
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"required": false,
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"default": 42,
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"description": "Random seed for reproducibility"
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},
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"fps": {
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"node_id": 6,
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"widget_index": 0,
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"type": "integer",
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"required": false,
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"default": 8,
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"description": "Output video framerate"
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}
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},
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"outputs": {
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"video": {
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"node_id": 6,
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"type": "video",
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"format": "MP4 (H.264)",
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"resolution": "Based on input image",
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"duration": "~6 seconds @ 8fps (49 frames)"
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}
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},
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"performance": {
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"avg_generation_time": "120-180 seconds",
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"vram_usage": "~20-22GB",
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"gpu_utilization": "95-100%"
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},
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"use_cases": [
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"Animate static images with camera motion",
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"Create video loops from single frames",
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"Add dynamic movement to product shots",
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"Generate cinematic camera movements"
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],
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"notes": [
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"CogVideoX-5b-I2V is specifically trained for image-to-video generation",
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"Model will download automatically on first use (~10GB)",
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"Enable VAE tiling to reduce VRAM usage",
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"Higher steps (50-100) improve quality but increase generation time",
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"T5-XXL text encoder required - automatically linked from SD3.5"
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]
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}
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},
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"version": 0.4
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}
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