Lumina-Image 2.0 on AMD Radeon RX 9060 XT 8GB

Can the AMD Radeon RX 9060 XT 8GB run Lumina-Image 2.0?

78 pts

Yes, with little memory to spare

Tight fit. At FP8 it needs about 7.5 GB of 8.0 GB usable, with an estimated speed of 14 s.

Best precision: FP8
Memory mode: Everything on GPU
Time per image: 14 s
Output: 1024×1024, 50 steps

Download Lumina-Image 2.0

Original weights · Hugging Face

Full-precision files from Shanghai AI Lab, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/Alpha-VLLM/Lumina-Image-2.0 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Shanghai AI Lab. The weights themselves download from Hugging Face.

github.com/Alpha-VLLM/Lumina-Image-2.0 (opens in a new tab)

git clone https://github.com/Alpha-VLLM/Lumina-Image-2.0

Links checked 7 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.	27.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	23.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	12.9 / 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	78.2 / 100	78 ptsGreat (A) · 78 of 100 points: Model quality 27.3/45, Memory fit 23.0/25, Speed 12.9/15, 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 AMD Radeon RX 9060 XT 8GB

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	7.5 GB	8.0 GB	16 s	Text encoder offloaded	Tight fit	72 ptsGreat (A) · 72 of 100 points: Model quality 27.9/45, Memory fit 18.0/25, Speed 11.9/15, Memory use 15.0/15	Original weights (opens in a new tab)
`FP8`	7.5 GB	8.0 GB	14 s	Everything on GPU	Tight fit	78 ptsGreat (A) · 78 of 100 points: Model quality 27.3/45, Memory fit 23.0/25, Speed 12.9/15, Memory use 15.0/15	Original weights (opens in a new tab)

Other hardware that runs it

82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 9070 XT FP16 · 9.3 s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER FP16 · 9.9 s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 FP16 · 9.3 s
80 ptsGreat (A) · 80 of 100 points: Model quality 27.3/45, Memory fit 25.0/25, Speed 13.8/15, Memory use 14.4/15 NVIDIA GeForce RTX 4070 SUPER FP8 · 12 s
80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.2/15 AMD Radeon RX 7900 XTX FP16 · 7.8 s
80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.2/15 NVIDIA GeForce RTX 4090 FP16 · 7.0 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.