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name: specialized-workflows description: "Plan specialized ComfyUI-LTXVideo IC-LoRA, audio, HDR, motion-track, mask, inpaint, outpaint, and upscaling workflows without reopening the source repository." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

specialized-workflows

Use this sub-skill when a user task involves ComfyUI-LTXVideo workflow families beyond ordinary T2V/I2V/V2V sampling:

• IC-LoRA guide workflows: union control, motion tracks, HDR, Dub-It, pixel spatial upscaler, ingredients, inpaint, outpaint, and V2V IC-LoRA variants.
• Audio/video utility workflows: text-to-audio, audio-only model patching, speaker reference audio tokens, and audio freezing across stages.
• Specialized media utilities: sparse track editor/draw tracks, HDR LogC3 decode and EXR preflight, video mask preprocessing/dilation, green inpaint composites, and Laplacian pyramid blending.

Do not use this sub-skill for normal sampling, prompt setup, or experimental model patches:

• Route ordinary T2V/I2V/V2V model loading, samplers, VAE decode, tiled/looping/low-VRAM generation, and latent basics to core-generation.
• Route Gemma/API prompt conditioning, prompt enhancement, saved conditioning, and multimodal guider setup to prompt-conditioning.
• Route Q8, STG/APG, attention-bank, flow-edit, PAG/FETA, and other expert tricks to advanced-control.
• Read root install, model, CUDA, and optional dependency requirements in model-and-backend-requirements before promising native execution.

All native ComfyUI executions for these workflows require ComfyUI, CUDA-capable GPU/VRAM, the LTX-2 model assets, the relevant Gemma/audio/LoRA/upscaler assets, and often large input/output media. In this skill, native generation is intentionally deferred; use the bundled scripts only for safe static checks.

First-read routing

1. Identify the requested specialized family in the table below.
2. Read the linked reference before composing a graph or troubleshooting.
3. If the graph needs prompt text, conditioning tensors, sampler settings, latent sizing, VAE decode, two-stage upsampling, or low-VRAM sequencing, delegate those details to the sibling sub-skill rather than duplicating them here.

User intent	Use	Read
Add a control/reference clip or image through IC-LoRA	LTXICLoRALoaderModelOnly, LTXAddVideoICLoRAGuide, LTXAddVideoICLoRAGuideAdvanced	IC-LoRA recipes
Union depth/edge/pose control, ingredients, V2V IC-LoRA, creative pixel spatial upscaling	IC-LoRA loader + guide placement; possibly audio ref tokens	IC-LoRA recipes, masks/inpaint/outpaint/upscale
Motion-track control from a reference image	LTXVSparseTrackEditor, LTXVDrawTracks, motion-track IC-LoRA guide	audio/HDR/motion, scripts/validate_sparse_tracks.py
HDR IC-LoRA output or EXR export	LTXVHDRDecodePostprocess after VAE decode	audio/HDR/motion, scripts/hdr_exr_preflight.py
Dub-It/re-dubbing, audio identity preservation, or two-stage audio freeze	LTXVSetAudioRefTokens, AV concat, frozen audio latent	audio/HDR/motion
Text-to-audio with no video output	LTXVAudioOnlyModel, LTXVAudioOnlyEmptyVideoLatent, AV concat, audio VAE decode	audio/HDR/motion
Inpaint/outpaint masks or seamless compositing	LTXVPreprocessMasks, LTXVDilateVideoMask, LTXVInpaintPreprocess, LTXVLaplacianPyramidBlend	masks/inpaint/outpaint/upscale
Family-specific error diagnosis	node-specific failure matrix	troubleshooting

Operating rules

• Keep IC-LoRA guide operations on the video-only latent and conditioning path before the final AV latent concatenation. Propagate all returned outputs: positive conditioning, negative conditioning, and latent.
• Prefer LTXICLoRALoaderModelOnly for IC-LoRA workflows because it extracts the LoRA metadata-derived latent_downscale_factor; feed that value into guide nodes when available.
• Use LTXAddVideoICLoRAGuideAdvanced when a workflow needs per-guide self-attention strength or a spatial attention mask. Use the basic guide when no attention mask/strength isolation is needed.
• Treat motion tracks, masks, HDR EXR export, and audio reference tokens as specialized add-ons around a core sampler graph. Route sampler schedules, two-stage generation, VAE decode, and low-VRAM mechanics to core-generation.
• Treat Gemma/API text encoding, target dialogue prompts, negative prompts, and conditioning cache choices as prompt-conditioning tasks.

Safe bundled scripts

• scripts/validate_sparse_tracks.py: validate sparse track JSON emitted by the editor or authored manually. It imports only the Python standard library and writes nothing.
• scripts/hdr_exr_preflight.py: check whether OPENCV_IO_ENABLE_OPENEXR=1 is set and whether optional cv2 EXR constants are importable. It writes no EXR files.

Verification status

Static evidence confirmed the specialized node families and representative input/output schemas. CUDA/model-backed generation, model downloads, ComfyUI workflow execution, HDR EXR file writing, and media-output quality checks are intentionally deferred to final verification or user runtime.