Kolors on Annapurna Labs Alpine AL324 NAS (16 GB)

Can the Annapurna Labs Alpine AL324 NAS (16 GB) run Kolors?

Barely: it runs very slowly (tight fit)

Very slow (tight fit). At FP8 it needs about 11.0 GB of 12.0 GB usable and takes about 24.9 min per image.

Best precision: FP8
Memory mode: Everything on GPU
Time per image: 24.9 min
Output: 1024×1024, 25 steps

Download Kolors

Original weights · Hugging Face

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

huggingface.co/Kwai-Kolors/Kolors-diffusers (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/Kwai-Kolors/Kolors (opens in a new tab)

git clone https://github.com/Kwai-Kolors/Kolors

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.: How capable the model itself is at FP8, 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 slowtight fit: How well it runs on the Annapurna Labs Alpine AL324 NAS (16 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.	26.5 / 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.	23.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	1.2 / 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	65.7 / 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 Annapurna Labs Alpine AL324 NAS (16 GB)

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	7.3 GB	12.0 GB	29.0 min	Text encoder offloaded	Very slowencoder unloaded after use	60Good quality (B) · 60 of 100: how capable the model is at FP16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`FP8`	11.0 GB	12.0 GB	24.9 min	Everything on GPU	Very slowtight fit	58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Other hardware that runs it

60Good quality (B) · 60 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. AMD Radeon RX 7900 XTX FP16 · 4.5 s · Runs great
60Good quality (B) · 60 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 GeForce RTX 3090 FP16 · 7.5 s · Runs great
60Good quality (B) · 60 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 GeForce RTX 4090 FP16 · 4.0 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 9070 XT FP8 · 4.8 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4060 Ti 16GB FP8 · 9.7 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4070 Ti SUPER FP8 · 5.8 s · Runs great

Quick answers

How much memory does Kolors need on the Annapurna Labs Alpine AL324 NAS 16GB?

At FP8 it needs about 11.0 GB. The Annapurna Labs Alpine AL324 NAS 16GB has 12.0 GB usable.

How long does Kolors take on the Annapurna Labs Alpine AL324 NAS 16GB?

About 24.9 min per image at FP8 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.