Pony Diffusion V6 XL on Intel Celeron J6412 / Atom x6425E NAS (8 GB)

Can the Intel Celeron J6412 / Atom x6425E NAS (8 GB) run Pony Diffusion V6 XL?

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

Very slow (tight fit · encoder unloaded after use). At FP8 it needs about 4.7 GB of 5.2 GB usable and takes about 24.3 min per image.

Best precision: FP8
Memory mode: Text encoder offloaded
Time per image: 24.3 min
Output: 1024×1024, 25 steps

Download Pony Diffusion V6 XL

Original weights · Hugging Face

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

huggingface.co/LyliaEngine/Pony_Diffusion_V6_XL (opens in a new tab)

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

How it’s rated

Quality 56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (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 · encoder unloaded after use: How well it runs on the Intel Celeron J6412 / Atom x6425E NAS (8 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.	25.6 / 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.	18.0 / 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	59.8 / 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 Celeron J6412 / Atom x6425E NAS (8 GB)

Quant	Memory needed	Available	Speed	Memory mode	Runs	Quality	Download
`FP16`	3.8 GB	5.2 GB	33.5 min	Sequential CPU offload	Very slowCPU offload	58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)
`FP8`	4.7 GB	5.2 GB	24.3 min	Text encoder offloaded	Very slowtight fit · encoder unloaded after use	56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Other hardware that runs it

58Good quality (B) · 58 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 GeForce RTX 4070 SUPER FP16 · 7.2 s · Runs great
56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4060 FP8 · 12 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. AMD Radeon RX 9070 XT FP16 · 5.0 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4070 Ti SUPER FP16 · 6.1 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4080 SUPER FP16 · 5.4 s · Runs great
58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5060 Ti 16GB FP16 · 9.7 s · Runs great

Quick answers

How much memory does Pony Diffusion V6 XL need on the Intel Celeron J6412 / Atom x6425E NAS 8GB?

At FP8 it needs about 4.7 GB. The Intel Celeron J6412 / Atom x6425E NAS 8GB has 5.2 GB usable.

How long does Pony Diffusion V6 XL take on the Intel Celeron J6412 / Atom x6425E NAS 8GB?

About 24.3 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.