Can the Apple M2 (24 GB) run Chroma1-HD?

74 pts

Yes, it runs well

Runs well. At NF4 it needs about 12.5 GB of 16.1 GB usable, with an estimated speed of 7.3 min.

Best precision: NF4
Memory mode: Everything on GPU
Time per image: 7.3 min
Output: 1024×1024, 40 steps

Download Chroma1-HD

Original weights · Hugging Face

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

huggingface.co/lodestones/Chroma1-HD (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/lodestone-rock/flow (opens in a new tab)

git clone https://github.com/lodestone-rock/flow

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	32.6 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	2.3 / 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
Total	74.9 / 100	74 ptsGreat (A) · 74 of 100 points: Model quality 32.6/45, Memory fit 25.0/25, Speed 2.3/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the Apple M2 (24 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	8.8 GB	16.1 GB	8.6 min	Sequential CPU offload	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 35.1/45, Memory fit 12.0/25, Speed 2.1/15, Memory use 12.6/15	Original weights (opens in a new tab)
`FP8`	11.6 GB	16.1 GB	6.3 min	Text encoder offloaded	Runs well	71 ptsGood (B) · 71 of 100 points: Model quality 34.4/45, Memory fit 20.0/25, Speed 2.4/15, Memory use 15.0/15	Original weights (opens in a new tab)
`NF4`	12.5 GB	16.1 GB	7.3 min	Everything on GPU	Runs well	74 ptsGreat (A) · 74 of 100 points: Model quality 32.6/45, Memory fit 25.0/25, Speed 2.3/15, Memory use 15.0/15	Original weights (opens in a new tab)

Other hardware that runs it

85 ptsExcellent (S) · 85 of 100 points: Model quality 34.4/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 FP8 · 18 s
84 ptsGreat (A) · 84 of 100 points: Model quality 34.4/45, Memory fit 25.0/25, Speed 10.6/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX FP8 · 20 s
83 ptsGreat (A) · 83 of 100 points: Model quality 34.4/45, Memory fit 25.0/25, Speed 12.2/15, Memory use 11.8/15 NVIDIA GeForce RTX 5090 FP8 · 15 s
82 ptsGreat (A) · 82 of 100 points: Model quality 34.4/45, Memory fit 25.0/25, Speed 8.2/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 FP8 · 34 s
81 ptsGreat (A) · 81 of 100 points: Model quality 32.6/45, Memory fit 25.0/25, Speed 8.8/15, Memory use 15.0/15 AMD Radeon RX 9070 XT NF4 · 29 s
81 ptsGreat (A) · 81 of 100 points: Model quality 32.6/45, Memory fit 25.0/25, Speed 8.8/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 NF4 · 29 s

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.