Kandinsky 6.0 Pro (29B, video + audio) on Intel Core i5-1240P / i5-1340P NAS (96 GB)

Can the Intel Core i5-1240P / i5-1340P NAS (96 GB) run Kandinsky 6.0 Pro (29B, video + audio)?

Barely: it runs very slowly (encoder unloaded after use)

Very slow (encoder unloaded after use). At FP16 it needs about 68.6 GB of 83.5 GB usable and takes about 77.0 h per clip.

Best precision: FP16
Memory mode: Text encoder offloaded
Time per clip: 77.0 h
Output: 864×480, 121 frames, 50 steps

Download Kandinsky 6.0 Pro (29B, video + audio)

Original weights · Hugging Face

Full-precision files from Sber AI, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/kandinskylab/Kandinsky-6.0-Pro-5s-Diffusers (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Official repo · GitHub

Reference code, inference scripts and docs from Sber AI. The weights themselves download from Hugging Face.

github.com/kandinskylab/kandinsky-6 (opens in a new tab)

git clone https://github.com/kandinskylab/kandinsky-6

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.: How capable the model itself is at FP16, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Very slowencoder unloaded after use: How well it runs on the Intel Core i5-1240P / i5-1340P NAS (96 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	39.6 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.	20.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.4 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Match score	75.0 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

Every precision on the Intel Core i5-1240P / i5-1340P NAS (96 GB)

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	68.6 GB	83.5 GB	77.0 h	Text encoder offloaded	Very slowencoder unloaded after use	88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Other hardware that runs it

88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell FP16 · 35.9 min · Slow (tight fit)
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H200 141GB SXM FP16 · 34.1 min · Slow
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H200 NVL FP16 · 37.0 min · Slow
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GH200 Grace Hopper (96 GB GPU) FP16 · 34.1 min · Slow (tight fit)
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H100 NVL FP16 · 37.0 min · Slow (tight fit)
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell Server Edition FP16 · 37.0 min · Slow (tight fit)

Quick answers

How much memory does Kandinsky 6.0 Pro (29B, video + audio) need on the Intel Core i5-1240P / i5-1340P NAS 96GB?

At FP16 it needs about 68.6 GB. The Intel Core i5-1240P / i5-1340P NAS 96GB has 83.5 GB usable.

How long does Kandinsky 6.0 Pro (29B, video + audio) take on the Intel Core i5-1240P / i5-1340P NAS 96GB?

About 77.0 h per clip at FP16 and default settings, an estimate scaled from a reference timing by this hardware’s compute speed.

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.