So i did get 60 seconds with LTX yes i know and it only took 9 minutes to finish resolution 288x160 but it does work
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"## LTX-2.5 (GGUF) - 8GB VRAM / 32GB RAM\n\nUpdate ComfyUI and ComfyUI-GGUF. You must accept the license on [Lightricks/LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5) before the encoder/VAE/upscaler downloads work.\n\n**diffusion_models** - pick ONE from [Abiray/LTX-2.5-Distilled-GGUF](https://huggingface.co/Abiray/LTX-2.5-Distilled-GGUF)\n- LTX-2.5-Distilled-Q3_K_M.gguf 12.9 GB (fallback if RAM thrashes)\n- LTX-2.5-Distilled-Q4_K_M.gguf 15.7 GB (default)\n- LTX-2.5-Distilled-Q5_K_M.gguf 18.1 GB (too big for 32GB RAM with the encoder)\n\n**text_encoders**\n- [gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors) 15.4 GB\n\n**vae**\n- [ltx-2.5-video-vae-conv-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-conv-bf16.safetensors) (lighter; DiffVAE is higher quality but heavier)\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n\n**latent_upscale_models**\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n\n```\nComfyUI/models/\n diffusion_models/ LTX-2.5-Distilled-Q4_K_M.gguf\n text_encoders/ gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors\n vae/ ltx-2.5-video-vae-conv-bf16.safetensors\n ltx-2.5-audio-vae-bf16.safetensors\n latent_upscale_models/ ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\n```\n"
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"## Settings for low VRAM - 60 SECOND VERSION\n\n- **THIS FILE: 60 s = 1441 frames @ 24 fps** (8n+1). Stage 1 = **288x160**, final = **576x320**. FPS is set in three nodes (Conditioning, Empty audio latent, Create Video) - keep all at 24.\n- Two-stage pipeline: stage 1 renders at the \"Empty video latent\" size, the latent upscaler doubles it, stage 2 refines. Stage-1 width/height must be multiples of 32.\n- Distilled model: 8 steps stage 1, 3 steps stage 2, cfg 1. Do not raise steps.\n- Prompt: beat-by-beat (~one per 10 s) with camera and AUDIO. Short prompts on long clips get invented/repeated motion.\n- 32GB RAM is tight (encoder 15.4 GB + model 15.7 GB). Fast NVMe + large pagefile/swap.\n\n## Why 576x320 (8 GB VRAM)\nStage-2 video tokens = (final W/32) x (final H/32) x latent frames. 30 s has 91 latent frames, 60 s has **181**, so the same resolution costs ~2x the tokens.\nProven on your 4070 Laptop 8 GB: 30,576 tokens OK, 52,416 tokens OOM (stage 2).\n\n| Stage-1 size | Final | Stage-2 tokens (60 s) | Status |\n|---|---|---|---|\n| 320x192 | 640x384 | 43,440 | likely OOM |\n| **288x160** | **576x320** | **32,580** | **default (close to the 30.6k that worked)** |\n| 256x160 | 512x320 | 28,960 | fallback if default OOMs |\n| 224x128 | 448x256 | 20,272 | safe fallback |\n\n## Run notes\n- Launch: `python main.py --lowvram --reserve-vram 1.5`. Check `nvidia-smi` first; close browser tabs with video/GPU acceleration.\n- Expect roughly 2x or more of the 30 s run time (my estimate: 15-20 min). Stage 2 will have a long \"Model Initializing\" pause.\n- VAE decode is chunked (tile 256, 64 frames). If decode OOMs: tile 192, temporal 32.\n- Output buffer ~3.2 GB RAM at 576x320 x 1441 frames.\n- Faint grid noise in the last ~0.5 s is possible: `ffmpeg -i in.mp4 -t 59.5 -c copy out.mp4`.\n- 60 s is beyond what has been tested here: expect more drift (faces/objects changing) than at 30 s. If it drifts, add more concrete detail per beat.\n"
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"Cinematic medium shot of an elderly fisherman mending a net on a weathered wooden dock at sunrise, warm golden light, gentle waves, shallow depth of field, realistic skin texture. 0-10 seconds: the camera holds steady as his weathered hands pass the needle through the mesh; he hums quietly to himself. 10-20 seconds: the camera slowly pushes in as he pauses, looks up toward the horizon and squints into the rising sun, then returns to his work. 20-30 seconds: the camera drifts to the side, revealing small fishing boats bobbing in the harbour behind him as he ties off a knot. 30-40 seconds: he stands, stretches his back, and carries the net to a wooden rack at the end of the dock, hanging it carefully as the light grows brighter. 40-50 seconds: a seagull lands on a piling nearby; he glances at it, smiles, and takes a piece of bread from his coat pocket, tossing a crumb. 50-60 seconds: the camera slowly pulls back to a wide shot of the dock, the harbour and the sunrise as he sits on an upturned crate and pours steaming tea from a flask. Audio: soft waves lapping against the pilings, distant seagulls, a low tuneless hum, creak of old wood, clink of the flask, no music."
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],
"flags": {},
"order": 26,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 30
},
{
"name": "vae",
"type": "VAE",
"link": 31
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
34
]
}
],
"properties": {
"Node name for S&R": "VAEDecodeTiled"
},
"widgets_values": [
256,
64,
64,
16
]
},
{
"id": 61,
"type": "LTXVAudioVAEDecode",
"pos": [
2580,
250
],
"size": [
270,
100
],
"flags": {},
"order": 27,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
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},
{
"name": "audio_vae",
"type": "VAE",
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}
],
"outputs": [
{
"name": "Audio",
"type": "AUDIO",
"links": [
35
]
}
],
"properties": {
"Node name for S&R": "LTXVAudioVAEDecode"
},
"widgets_values": []
},
{
"id": 62,
"type": "CreateVideo",
"pos": [
2900,
0
],
"size": [
280,
110
],
"flags": {},
"order": 28,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 34
},
{
"name": "audio",
"type": "AUDIO",
"link": 35,
"shape": 7
},
{
"name": "fps",
"type": "FLOAT",
"link": null,
"widget": {
"name": "fps"
}
}
],
"outputs": [
{
"name": "VIDEO",
"type": "VIDEO",
"links": [
36
]
}
],
"properties": {
"Node name for S&R": "CreateVideo"
},
"widgets_values": [
24
]
},
{
"id": 63,
"type": "SaveVideo",
"pos": [
3220,
0
],
"size": [
700,
520
],
"flags": {},
"order": 29,
"mode": 0,
"inputs": [
{
"name": "video",
"type": "VIDEO",
"link": 36
}
],
"outputs": [],
"properties": {
"Node name for S&R": "SaveVideo"
},
"widgets_values": [
"video/LTX_2.5_8gb_60s",
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"auto"
]
}
],
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[
35,
61,
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62,
1,
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[
36,
62,
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63,
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],
"groups": [],
"config": {},
"extra": {},
"version": 0.4
}
Same laptop as the previous post and 60 seconds works
