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Can the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (16 GB) run HiDream-I1 Full?

83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.

Barely: it runs very slowly (CPU offload)

Very slow (CPU offload). At Q8 GGUF it needs about 9.3 GB of 12.0 GB usable and takes about 65.4 min per image.

Best precision
Q8 GGUF
Memory mode
Sequential CPU offload
Time per image
65.4 min
Output
1024×1024, 50 steps

Download HiDream-I1 Full

Recommended for the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (16 GB): q8_gguf. Every other precision has its own download link in the table below.

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

Download the q8_gguf (Q8_0) file (opens in a new tab)

huggingface.co/city96/HiDream-I1-Full-gguf (opens in a new tab)

Original weights · Hugging Face

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

huggingface.co/HiDream-ai/HiDream-I1-Full (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/HiDream-ai/HiDream-I1 (opens in a new tab)

git clone https://github.com/HiDream-ai/HiDream-I1

Links checked 3 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q8 GGUF, 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 slowCPU offload
How well it runs on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) 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.37.4 / 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.12.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.0.8 / 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 score65.2 / 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 Ultra 5 225 / 7 265 / 9 285 (desktop) NAS (16 GB)

Quant Memory needed Available Speed Memory mode Runs Quality Download
FP16 14.8 GB 12.0 GB — — Won't run 84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. Original weights (opens in a new tab)
FP8 8.8 GB 12.0 GB 51.2 min Sequential CPU offload Very slowCPU offload 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. Original weights (opens in a new tab)
Q8 GGUF 9.3 GB 12.0 GB 65.4 min Sequential CPU offload Very slowCPU offload 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q4 GGUF 6.5 GB 12.0 GB 68.2 min Sequential CPU offload Very slowCPU offload 78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
NF4 6.2 GB 12.0 GB 62.5 min Sequential CPU offload Very slowCPU offload 78Great quality (A) · 78 of 100: how capable the model is at NF4, 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

Quick answers

How much memory does HiDream-I1 Full need on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 16GB?

At Q8 GGUF it needs about 9.3 GB. The Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 16GB has 12.0 GB usable.

How long does HiDream-I1 Full take on the Intel Core Ultra 5 225 / 7 265 / 9 285 (desktop) NAS 16GB?

About 65.4 min per image at Q8 GGUF 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.

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