Video Generation Research — Qdrant Quick-Start

Canonical data store: Qdrant comfyui_decisions @ http://10.0.0.22:6333 (64+ points) Embedding: snowflake-arctic-embed2:latest (1024-dim, Cosine) Human companion: /home/n8n/workspace/comfy/research.md (search topics + URLs only, no specs)

What Lives Where

Store	Content	How to Query
Qdrant `comfyui_decisions`	All specs, VRAM numbers, node names, workarounds, paper abstracts, trend analysis	Vector search via Ollama embedding + POST to 10.0.0.22:6333
Qdrant `comfyui_kb`	General knowledge (3884 points, pre-existing)	Same method
research.md	Human-readable search topics, URL quick-reference, comparison tables	grep / raw read
This file	Quick-start pointers to the above	Read once, then query Qdrant

Qdrant Query Pattern

import requests, json

# 1. Get embedding
emb_resp = requests.post("http://localhost:11434/api/embed", json={
    "model": "snowflake-arctic-embed2:latest",
    "input": "YOUR SEARCH TOPIC"
})
vector = emb_resp.json()["embeddings"][0]

# 2. Search Qdrant
search_resp = requests.post(
    "http://10.0.0.22:6333/collections/comfyui_decisions/points/search",
    json={"vector": vector, "limit": 5, "with_payload": True}
)
results = search_resp.json()["result"]["points"]

Example Search Topics

Use these as input strings above (from research.md):

"LTX 2.3 specs, frames, VRAM, audio latent"
"HunyuanVideo frame limits block swapping FP8"
"Wan 2.2 low VRAM sound-to-video FreeLong"
"Google Veo 3 native audio cloud"
"Kling 3.0 Omni visual identity vocal tone"
"ID-LoRA face identity lock LTX"
"FreeLong spectral blending Wan motion reversal"
"Segment chaining last frame to first frame"
"LivePortrait portrait animation"
"MuseTalk LatentSync lip-sync"
"RIFE frame interpolation"
"MultiTalk NeurIPS multi-person conversation"
"StreamingT2V CVPR long video streaming"

Quick Model Comparison (from Qdrant)

Tool	Native Audio	Max Frames	VRAM	Best For
LTX 2.3	YES	361	12-24 GB	Local, audio-synced
HunyuanVideo 1.5	NO	129	20-24 GB	Best open-source quality
Wan 2.2	YES (S2V)	81 / 1025	5-16 GB	Low VRAM, sound-driven
Veo 3	YES	API	Cloud	Highest fidelity
Kling 3.0 Omni	YES	API	Cloud	Character + voice

Key URLs (Quick Reference)

LTX: https://huggingface.co/Lightricks
Hunyuan: https://github.com/Tencent-Hunyuan/HunyuanVideo
Wan wrapper: https://github.com/kijai/ComfyUI-WanVideoWrapper
Veo: https://deepmind.google/models/veo/
Kling: https://kling.ai/
LivePortrait: https://github.com/kijai/ComfyUI-LivePortraitKJ
VHS: https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

All detailed data is in Qdrant. This file is a navigation aid only.

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