FLUX.1 [schnell] on NVIDIA GeForce RTX 5060 Ti 16GB
Can the NVIDIA GeForce RTX 5060 Ti 16GB run FLUX.1 [schnell]?
Yes, with little memory to spare
Tight fit. At Q4 GGUF it needs about 14.8 GB of 16.0 GB usable, with an estimated speed of 6.1 s.
- Best precision
Q4 GGUF- Memory mode
- Everything on GPU
- Time per image
- 6.1 s
- Output
- 1024×1024, 4 steps
Download FLUX.1 [schnell]
Recommended for the NVIDIA GeForce RTX 5060 Ti 16GB: q4_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 q4_gguf (Q4_K_S) file (opens in a new tab)
huggingface.co/city96/FLUX.1-schnell-gguf (opens in a new tab)
Original weights · Hugging Face
Full-precision files from Black Forest Labs, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.
huggingface.co/black-forest-labs/FLUX.1-schnell (opens in a new tab)
Official repo · GitHub
Reference code, inference scripts and docs from Black Forest Labs. The weights themselves download from Hugging Face.
github.com/black-forest-labs/flux (opens in a new tab)
git clone https://github.com/black-forest-labs/fluxHow the A grade is scored
Every result gets up to 100 points from four parts. The points decide the letter grade.
| Model quality | 29.3 / 45 | |
|---|---|---|
| Memory fit | 23.0 / 25 | |
| Speed | 15.0 / 15 | |
| Memory use | 15.0 / 15 | |
| Total | 82.3 / 100 | 82 ptsGreat (A) · 82 of 100 points: Model quality 29.3/45, Memory fit 23.0/25, Speed 15.0/15, Memory use 15.0/15 |
Every precision on the NVIDIA GeForce RTX 5060 Ti 16GB
| Precision | Memory needed | Available | Time per output | Memory mode | Fit | Grade · points | Download |
|---|---|---|---|---|---|---|---|
FP16 | 11.0 GB | 16.0 GB | 6.6 s | Sequential CPU offload | Runs well | 73 ptsGreat (A) · 73 of 100 points: Model quality 31.5/45, Memory fit 12.0/25, Speed 15.0/15, Memory use 15.0/15 | Original weights (opens in a new tab) |
FP8 | 14.7 GB | 16.0 GB | 4.8 s | Text encoder offloaded | Tight fit | 78 ptsGreat (A) · 78 of 100 points: Model quality 30.9/45, Memory fit 18.0/25, Speed 15.0/15, Memory use 15.0/15 | Original weights (opens in a new tab) |
Q8 GGUF | 7.1 GB | 16.0 GB | 7.6 s | Sequential CPU offload | Runs well | 68 ptsGood (B) · 68 of 100 points: Model quality 31.2/45, Memory fit 12.0/25, Speed 15.0/15, Memory use 10.2/15 | GGUF (opens in a new tab) |
Q4 GGUF | 14.8 GB | 16.0 GB | 6.1 s | Everything on GPU | Tight fit | 82 ptsGreat (A) · 82 of 100 points: Model quality 29.3/45, Memory fit 23.0/25, Speed 15.0/15, Memory use 15.0/15 | GGUF (opens in a new tab) |
NF4 | 14.4 GB | 16.0 GB | 5.6 s | Everything on GPU | Tight fit | 82 ptsGreat (A) · 82 of 100 points: Model quality 29.3/45, Memory fit 23.0/25, Speed 15.0/15, 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 31.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 5090
- 85 ptsExcellent (S) · 85 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX
- 85 ptsExcellent (S) · 85 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090
- 85 ptsExcellent (S) · 85 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090
- 82 ptsGreat (A) · 82 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 15.0/15 Apple M1 Max (64 GB)
- 82 ptsGreat (A) · 82 of 100 points: Model quality 29.3/45, Memory fit 23.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 9070 XT
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.