HiDream-I1 Fast on Intel Core Ultra 7 255H / 9 285H NAS (64 GB)
Can the Intel Core Ultra 7 255H / 9 285H NAS (64 GB) run HiDream-I1 Fast?
Yes, but slowly (tight fit)
Slow (tight fit). At FP8 it needs about 33.7 GB of 36.5 GB usable and takes about 84 s per image.
- Best precision
FP8- Memory mode
- Everything on GPU
- Time per image
- 84 s
- Output
- 1024×1024, 16 steps
Download HiDream-I1 Fast
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.
huggingface.co/city96/HiDream-I1-Fast-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-Fast (opens in a new tab)
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-I1How it’s rated
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 quality | 33.5 / 45 | |
|---|---|---|
| Memory fit | 23.0 / 25 | |
| Speed | 5.2 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 76.7 / 100 |
Every precision on the Intel Core Ultra 7 255H / 9 285H NAS (64 GB)
| Quant | Memory needed | Available | Speed | Memory mode | Runs | Quality | Download |
|---|---|---|---|---|---|---|---|
FP16 | 14.8 GB | 36.5 GB | 2.0 min | Sequential CPU offload | SlowCPU offload | 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
FP8 | 33.7 GB | 36.5 GB | 84 s | Everything on GPU | Slowtight fit | 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Q8 GGUF | 34.9 GB | 36.5 GB | 1.8 min | Everything on GPU | Slowtight fit | 75Great quality (A) · 75 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4 GGUF | 26.9 GB | 36.5 GB | 1.9 min | Everything on GPU | Slow | 70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
NF4 | 26.2 GB | 36.5 GB | 1.7 min | Everything on GPU | Slow | 70Great quality (A) · 70 of 100: how capable the model is at NF4, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Other hardware that runs it
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
70Great quality (A) · 70 of 100: how capable the model is at NF4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
AMD Ryzen AI Max+ 395 (128 GB)
-
76Great quality (A) · 76 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 RTX Spark N1X (6144-core GPU) (128 GB)
-
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
-
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
Quick answers
How much memory does HiDream-I1 Fast need on the Intel Core Ultra 7 255H / 9 285H NAS 64GB?
At FP8 it needs about 33.7 GB. The Intel Core Ultra 7 255H / 9 285H NAS 64GB has 36.5 GB usable.
How long does HiDream-I1 Fast take on the Intel Core Ultra 7 255H / 9 285H NAS 64GB?
About 84 s 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.