1445 lines
28 KiB
JSON
1445 lines
28 KiB
JSON
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"title": "Resolution Selector (Size)",
|
|
"properties": {
|
|
"Node name for S&R": "H3ResolutionSelector"
|
|
},
|
|
"widgets_values": [
|
|
"16:9 widescreen - what H3 is trained on (1344x768 at 1.0)",
|
|
0.5,
|
|
32
|
|
],
|
|
"widgets_values_named": {
|
|
"aspect_ratio": "16:9 (Widescreen)",
|
|
"megapixels": 0.5,
|
|
"multiple": 32
|
|
},
|
|
"color": "#322",
|
|
"bgcolor": "#533"
|
|
},
|
|
{
|
|
"id": 153,
|
|
"type": "H3PromptPreview",
|
|
"pos": [
|
|
860,
|
|
5400
|
|
],
|
|
"size": [
|
|
847,
|
|
818
|
|
],
|
|
"flags": {},
|
|
"order": 17,
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|
"mode": 0,
|
|
"inputs": [
|
|
{
|
|
"name": "text",
|
|
"type": "STRING",
|
|
"link": 322
|
|
},
|
|
{
|
|
"name": "image_1",
|
|
"type": "IMAGE",
|
|
"link": null,
|
|
"shape": 7
|
|
}
|
|
],
|
|
"outputs": [
|
|
{
|
|
"name": "text",
|
|
"type": "STRING",
|
|
"links": null
|
|
}
|
|
],
|
|
"properties": {
|
|
"Node name for S&R": "H3PromptPreview",
|
|
"cnr_id": "comfyui_dagthomas"
|
|
},
|
|
"widgets_values": [
|
|
""
|
|
]
|
|
},
|
|
{
|
|
"id": 157,
|
|
"type": "H3Characters",
|
|
"pos": [
|
|
-570,
|
|
5400
|
|
],
|
|
"size": [
|
|
330,
|
|
390
|
|
],
|
|
"flags": {},
|
|
"order": 7,
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|
"mode": 0,
|
|
"inputs": [
|
|
{
|
|
"name": "cast_in",
|
|
"type": "STRING",
|
|
"shape": 7,
|
|
"link": null
|
|
}
|
|
],
|
|
"outputs": [
|
|
{
|
|
"name": "character",
|
|
"type": "STRING",
|
|
"links": []
|
|
},
|
|
{
|
|
"name": "actor",
|
|
"type": "STRING",
|
|
"links": []
|
|
},
|
|
{
|
|
"name": "franchise",
|
|
"type": "STRING",
|
|
"links": []
|
|
},
|
|
{
|
|
"name": "file_path",
|
|
"type": "STRING",
|
|
"links": []
|
|
},
|
|
{
|
|
"name": "cast",
|
|
"type": "STRING",
|
|
"links": [
|
|
320
|
|
]
|
|
},
|
|
{
|
|
"name": "wardrobe",
|
|
"type": "STRING",
|
|
"links": null
|
|
}
|
|
],
|
|
"properties": {
|
|
"Node name for S&R": "H3Characters",
|
|
"cnr_id": "comfyui_dagthomas"
|
|
},
|
|
"widgets_values": [
|
|
"✏️ custom (type in custom_character)",
|
|
"(all)",
|
|
0,
|
|
"fixed",
|
|
"Dr. Maya Ellis: a research scientist in her early 40s, shoulder-length dark curls, rectangular glasses",
|
|
"charcoal blazer over a white crew-neck tee, dark straight-leg jeans, thin silver watch on the left wrist"
|
|
],
|
|
"title": "H3 Characters — custom presenter + wardrobe",
|
|
"color": "#232",
|
|
"bgcolor": "#353"
|
|
},
|
|
{
|
|
"id": 161,
|
|
"type": "MarkdownNote",
|
|
"pos": [
|
|
-1860,
|
|
5400
|
|
],
|
|
"size": [
|
|
700,
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|
260
|
|
],
|
|
"flags": {},
|
|
"order": 10,
|
|
"mode": 0,
|
|
"inputs": [],
|
|
"outputs": [],
|
|
"properties": {
|
|
"Node name for S&R": "MarkdownNote"
|
|
},
|
|
"widgets_values": [
|
|
"# H3 Presentation\n\n1. Paste your **source material** (findings, benchmark numbers, a changelog, release notes) into the **H3 Presentation Writer** - it is the ground truth: every number, name and claim spoken or shown comes from it verbatim, nothing is invented.\n2. The writer plans the talk (hook → one point per scene → takeaway), writes one H3 prompt per scene with the presenter speaking generated dialogue and charts/graphics showing the real values, and emits matching lists: `scenes` → prompt, `lengths` → length.\n3. The H3 video node runs once per scene (voice and room tone are generated by the model) and each clip is saved as its own video file (VAE Decode → Create Video → Save Video); stitch externally, or re-add H3 Scenes Join for one file.\n\nThe presenter comes from the H3 Characters node (✏️ custom); connect a face photo to the writer's `image_1..` to lock their identity. The `script` output is a teleprompter view of every spoken line - read it to check fact fidelity before rendering.\n\n**Seed:** the writer's seed is **-1 (randomize)** - every queue writes a brand-new video; nothing is reused from earlier runs. To use the Review node's stop-edit-**Continue** flow, first set the writer's seed to a FIXED number: Continue relies on ComfyUI reusing the cached scenes, and with -1 each queue writes fresh scenes and re-reviews instead.\n\n**Clips land one by one.** The sampler and Save Clip are one node here - **Sampler + Save Clip** - so every scene is sampled, decoded, muxed with its slice of the song and written to `output/` BEFORE the next scene starts sampling. Watch the folder fill up during the run; a crash late in the run keeps everything already saved. (Two separate nodes would sample every scene first and only then start saving.)"
|
|
],
|
|
"title": "How this works",
|
|
"color": "#222",
|
|
"bgcolor": "#000"
|
|
},
|
|
{
|
|
"id": 163,
|
|
"type": "H3ClaudeCodePresentationWriter",
|
|
"pos": [
|
|
110,
|
|
5400
|
|
],
|
|
"size": [
|
|
520,
|
|
1604
|
|
],
|
|
"flags": {},
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|
"order": 0,
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|
"mode": 0,
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"inputs": [
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{
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"name": "cast_1",
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"type": "STRING",
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"link": 320,
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"shape": 7
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},
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{
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|
"name": "cast_2",
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"type": "STRING",
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|
"link": null,
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|
"shape": 7
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|
},
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{
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|
"name": "cast_3",
|
|
"type": "STRING",
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|
"link": null,
|
|
"shape": 7
|
|
},
|
|
{
|
|
"name": "cast_4",
|
|
"type": "STRING",
|
|
"link": null,
|
|
"shape": 7
|
|
},
|
|
{
|
|
"name": "llm",
|
|
"type": "APNEXT_LLM",
|
|
"link": null,
|
|
"shape": 7
|
|
},
|
|
{
|
|
"name": "image_1",
|
|
"type": "IMAGE",
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|
"link": null,
|
|
"shape": 7
|
|
}
|
|
],
|
|
"outputs": [
|
|
{
|
|
"name": "scenes",
|
|
"type": "STRING",
|
|
"links": [
|
|
321
|
|
]
|
|
},
|
|
{
|
|
"name": "durations",
|
|
"type": "FLOAT",
|
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"links": null
|
|
},
|
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{
|
|
"name": "lengths",
|
|
"type": "INT",
|
|
"links": [
|
|
323
|
|
]
|
|
},
|
|
{
|
|
"name": "scenes_text",
|
|
"type": "STRING",
|
|
"links": [
|
|
322
|
|
]
|
|
},
|
|
{
|
|
"name": "synopsis",
|
|
"type": "STRING",
|
|
"links": null
|
|
},
|
|
{
|
|
"name": "script",
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|
"type": "STRING",
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"links": null
|
|
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|
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{
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|
"name": "cast",
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"type": "STRING",
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"links": null
|
|
},
|
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{
|
|
"name": "scene_count",
|
|
"type": "INT",
|
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"links": null
|
|
},
|
|
{
|
|
"name": "total_seconds",
|
|
"type": "FLOAT",
|
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"links": null
|
|
},
|
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{
|
|
"name": "session_id",
|
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"type": "STRING",
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"links": null
|
|
},
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{
|
|
"name": "info",
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"links": null
|
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},
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{
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"name": "image_1",
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"type": "IMAGE",
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"links": null
|
|
},
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{
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|
"name": "image_2",
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"type": "IMAGE",
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"links": null
|
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},
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{
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"name": "image_3",
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"links": null
|
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},
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{
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"name": "image_4",
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"type": "IMAGE",
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"links": null
|
|
},
|
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{
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"name": "image_5",
|
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"type": "IMAGE",
|
|
"links": null
|
|
},
|
|
{
|
|
"name": "image_6",
|
|
"type": "IMAGE",
|
|
"links": null
|
|
},
|
|
{
|
|
"name": "image_7",
|
|
"type": "IMAGE",
|
|
"links": null
|
|
},
|
|
{
|
|
"name": "image_8",
|
|
"type": "IMAGE",
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|
"links": null
|
|
},
|
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{
|
|
"name": "image_9",
|
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"type": "IMAGE",
|
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"links": null
|
|
},
|
|
{
|
|
"name": "project_name",
|
|
"type": "STRING",
|
|
"links": [
|
|
407
|
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],
|
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"slot_index": 20
|
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}
|
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],
|
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"properties": {
|
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"Node name for S&R": "H3ClaudeCodePresentationWriter",
|
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"cnr_id": "comfyui_dagthomas"
|
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},
|
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"widgets_values": [
|
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"Project Falcon benchmark results (v2.1 vs v1.4):\n- accuracy: 91.4% (up from 78.2%)\n- median latency: 95 ms (down from 220 ms)\n- memory: 1.9 GB (down from 3.4 GB)\n- supported languages: 14 (up from 6)\nKey finding: switching to the fused attention kernel accounts for 70% of the latency win.\nKnown limitation: accuracy drops to 84% on inputs longer than 4k tokens.",
|
|
"An enthusiastic keynote reveal. Dr. Maya Ellis presents on a dark stage with a giant LED screen behind her; confident, warm, a little playful. The audience is developers.",
|
|
"Keynote stage (presenter + giant LED screen)",
|
|
6,
|
|
"Vary 5-15s (let Claude pace each scene)",
|
|
12.0,
|
|
"Auto (a graphic wherever it helps)",
|
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"Independent clips (hard cuts, T2V openers)",
|
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"Live-action, 35mm cinematic film aesthetic",
|
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"English",
|
|
10,
|
|
"sonnet",
|
|
false,
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|
true,
|
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true,
|
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1800,
|
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-1,
|
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"randomize",
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"",
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"",
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"",
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"",
|
|
"",
|
|
true,
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"",
|
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"",
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|
true,
|
|
false,
|
|
"",
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"",
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"Characters only (ignore picture backgrounds)",
|
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true,
|
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4,
|
|
"Ref2VA (bind reference images)",
|
|
"haiku",
|
|
true,
|
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"",
|
|
"Auto (the writer decides)"
|
|
],
|
|
"title": "H3 Presentation Writer"
|
|
},
|
|
{
|
|
"id": 167,
|
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"type": "H3SampleAndSave",
|
|
"pos": [
|
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910,
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4510
|
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],
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{
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"type": "NOISE",
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"link": 253
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},
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{
|
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"name": "guider",
|
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"type": "GUIDER",
|
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"link": 254
|
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},
|
|
{
|
|
"name": "sampler",
|
|
"type": "SAMPLER",
|
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"link": 255
|
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},
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{
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"name": "sigmas",
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"type": "SIGMAS",
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|
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},
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{
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"name": "latent_image",
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"type": "LATENT",
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"link": 271
|
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},
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{
|
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"name": "vae",
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"type": "VAE",
|
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"link": 405
|
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},
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{
|
|
"name": "audio",
|
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"type": "AUDIO",
|
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"link": 406,
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"shape": 7
|
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},
|
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{
|
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"name": "filename_prefix",
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"type": "STRING",
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"widget": {
|
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"name": "filename_prefix"
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},
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"link": 407
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}
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],
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"outputs": [
|
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{
|
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"name": "output",
|
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"type": "LATENT",
|
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"links": [
|
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281
|
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]
|
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},
|
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{
|
|
"name": "file_path",
|
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"type": "STRING",
|
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"links": null
|
|
}
|
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],
|
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"properties": {
|
|
"Node name for S&R": "H3SampleAndSave"
|
|
},
|
|
"widgets_values": [
|
|
"video/MiniMax_H3",
|
|
24.0,
|
|
"mp4"
|
|
],
|
|
"title": "Sampler + Save Clip - each scene written to disk as it finishes"
|
|
}
|
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],
|
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"links": [
|
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[
|
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250,
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120,
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0,
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121,
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],
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[
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253,
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]
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],
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"groups": [
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{
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"id": 1,
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"title": "LOAD MODELS",
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"bounding": [
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-1900,
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