Can the RTX 5060 Ti 8 GB run Lumina Image 2.0?
Download 16-bit (5.2 GB). With the model's working memory it needs about 7.0 GB, leaving 1.0 GB spare on 8 GB. Quality: the original weights.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | lumina_2_model_bf16.safetensors 16-bit · Comfy-Org/Lumina_Image_2.0_Repackaged | models/diffusion_models | 5.2 GB | Download → |
| Text encoder | gemma_2_2b_fp16.safetensors Gemma 2 2B FP16 · Comfy-Org/Lumina_Image_2.0_Repackaged | models/text_encoders | 5.2 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · Comfy-Org/Lumina_Image_2.0_Repackaged | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 10.8 GB | |||
Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.
System RAM: 32 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 10.8 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 16.8 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated
02Every Lumina 2.0 file on 8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 5.2 GB | 7.0 GB | fits · 1.0 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · calcuis | 2.8 GB | 4.6 GB | fits · 3.4 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · calcuis | 2.1 GB | 3.9 GB | fits · 4.1 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · calcuis | 1.8 GB | 3.6 GB | fits · 4.4 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · calcuis | 1.5 GB | 3.3 GB | fits · 4.7 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · calcuis | 1.1 GB | 2.9 GB | fits · 5.1 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · calcuis | 1.1 GB | 2.9 GB | fits · 5.1 GB spare | heavy loss; a last resort | Hugging Face → |
Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1 GB working memory for this model + 0.8 GB kept free for the system.
03The text encoder
Gemma 2 2B: 5.2 GB as 16-bit. ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 8 GB the 16-bit encoder fits on its own, so prompt encoding stays fast.
04About this GPU
The RTX 5060 Ti 8 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.
RTX 5060 Ti 8 GB: 8 GB GDDR7 · 128-bit · 448 GB/s · Blackwell. Everything that runs on the RTX 5060 Ti 8 GB →
05What more VRAM would change
Nothing to gain for this model: the RTX 5060 Ti 8 GB already runs a top-quality file entirely in VRAM. More memory would only help with bigger images, longer clips or several models at once.
What changes from the RTX 5060 Ti 8 GB to the RTX 5060 Ti 16 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Lumina 2.0 on a RTX 5060 Ti 8 GB, send your time per image and peak VRAM and it will appear here, credited.
07Questions
How much VRAM does Lumina 2.0 need?
Around 2.9 GB with the smallest file (Q2_K) and 4.6 GB with an 8-bit file (Q8_0), counting working memory and a small system reserve. The full 16-bit file needs about 7.0 GB.
Which Lumina 2.0 file should I download for the RTX 5060 Ti 8 GB?
16-bit (5.2 GB) from Comfy-Org/Lumina_Image_2.0_Repackaged.
Is FP8 faster than GGUF on the RTX 5060 Ti 8 GB?
It can be. This GPU has FP8 hardware, and ComfyUI computes FP8 natively for files made for it (Comfy-Org's fp8_scaled files), or for any FP8 file with the --fast fp8_matrix_mult option. GGUF files are unpacked on the fly, which costs some speed.
How much do I need to download for Lumina 2.0 on the RTX 5060 Ti 8 GB?
About 10.8 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 8 GB card, 32 GB of system RAM or more is recommended.