Image models · Black Forest Labs
FLUX.1 Fill [dev]
- Backbone
- 11.9B
- Native output
- 1024×1024
- Default steps
- 28
- License
- flux-1-dev-non-commercial
- Released
- 2024-11
How to run it
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-Fill-dev (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/fluxMemory needed
Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.
| Precision | Everything on GPU | Text encoder offloaded | Sequential offload | Download |
|---|---|---|---|---|
FP16 | 36.4 GB | 26.6 GB | 11.0 GB | Original weights (opens in a new tab) |
FP8 | 19.6 GB | 14.7 GB | 6.8 GB | Original weights (opens in a new tab) |
Components
- Backbone: 11.9B
- VAE: 0.084B
- CLIP-L: 0.123B
- T5-XXL: 4.76B
Best hardware for FLUX.1 Fill [dev]
The least expensive GPU in our catalog that runs it without offloading is the Intel Arc A580 (launch price $179) at FP8.
| Grade · points | Hardware | Precision | Memory | Time per output | Fit |
|---|---|---|---|---|---|
| 87 ptsExcellent (S) · 87 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 14.1/15, Memory use 15.0/15 | NVIDIA GeForce RTX 4090 | FP8 | 19.6 GB / 24.0 GB | 11 s | Runs well |
| 87 ptsExcellent (S) · 87 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.1/15 | NVIDIA GeForce RTX 5090 | FP8 | 19.6 GB / 32.0 GB | 9.4 s | Runs well |
| 86 ptsExcellent (S) · 86 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 13.4/15, Memory use 15.0/15 | AMD Radeon RX 7900 XTX | FP8 | 19.6 GB / 24.0 GB | 13 s | Runs well |
| 83 ptsGreat (A) · 83 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 10.3/15, Memory use 15.0/15 | NVIDIA GeForce RTX 3090 | FP8 | 19.6 GB / 24.0 GB | 21 s | Runs well |
| 82 ptsGreat (A) · 82 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.7/15 | NVIDIA RTX PRO 6000 Blackwell | FP16 | 36.4 GB / 96.0 GB | 9.2 s | Runs well |
| 79 ptsGreat (A) · 79 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 5.5/15, Memory use 15.0/15 | Apple M4 Max (64 GB) | FP16 | 36.4 GB / 48.0 GB | 73 s | Runs well |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 15.0/15 | Apple M1 Max (64 GB) | FP16 | 36.4 GB / 48.0 GB | 1.9 min | Runs well |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 33.5/45, Memory fit 18.0/25, Speed 12.0/15, Memory use 15.0/15 | AMD Radeon RX 9070 XT | FP8 | 14.7 GB / 16.0 GB | 16 s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 33.5/45, Memory fit 18.0/25, Speed 12.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 5080 | FP8 | 14.7 GB / 16.0 GB | 16 s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 33.5/45, Memory fit 18.0/25, Speed 11.6/15, Memory use 15.0/15 | NVIDIA GeForce RTX 4080 SUPER | FP8 | 14.7 GB / 16.0 GB | 17 s | Tight fit |
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.