Can My GPU Run Flux Kontext Dev?

Image to Image · VRAM requirements and compatibility for 78 GPUs

Home › AI Models › Flux Kontext Dev

Edit images with context-aware transformations. Flux Kontext Dev is a image to image model — developed by Black Forest Labs, released 2025-05, 12B parameters, 23.8 GB download, license: flux-1-dev-non-commercial.

Short answer: you need at least 6 GB of VRAM (12 GB recommended). 78 of 78 GPUs can run it; the smallest NVIDIA card that can is the GTX 1060 6GB (6 GB).

Check Flux Kontext Dev on your GPU

Flux Kontext Dev VRAM requirements

FormatVRAM
FP16 (full precision)24 GB
FP812 GB
GGUF Q48 GB
GGUF Q37 GB
Minimum6 GB
Recommended12 GB
Optimal24 GB

Tip: Specialized for image editing and context-aware I2I. Excellent at maintaining subject consistency.

Available as: ComfyUI, Diffusers, GGUF quantized versions, FP8 versions, CPU offloading.

Official pages: Hugging Face

Which GPUs can run Flux Kontext Dev?

Ratings go from S (perfect) to F (can't run) and use the best format that fits in each card's VRAM. How ratings work.

NVIDIA

GPUVRAMRatingRuns asSpeed
RTX 509032 GBA GreatFP16FastDetails
RTX 508016 GBA GreatFP8FastDetails
RTX 5070 Ti16 GBB GoodFP8FastDetails
RTX 507012 GBC UsableFP8ModerateDetails
RTX 5060 Ti 16GB16 GBB GoodFP8ModerateDetails
RTX 5060 Ti 8GB8 GBC UsableGGUF Q4SlowDetails
RTX 50608 GBC UsableGGUF Q4SlowDetails
RTX 409024 GBB GoodFP16FastDetails
RTX 4080 Super16 GBA GreatFP8FastDetails
RTX 408016 GBB GoodFP8FastDetails
RTX 4070 Ti Super16 GBB GoodFP8FastDetails
RTX 4070 Ti12 GBC UsableFP8ModerateDetails
RTX 4070 Super12 GBC UsableFP8ModerateDetails
RTX 407012 GBC UsableFP8ModerateDetails
RTX 4060 Ti 16GB16 GBB GoodFP8ModerateDetails
RTX 4060 Ti 8GB8 GBC UsableGGUF Q4SlowDetails
RTX 40608 GBD BarelyGGUF Q4SlowDetails
RTX 3090 Ti24 GBB GoodFP16FastDetails
RTX 309024 GBB GoodFP16FastDetails
RTX 3080 Ti12 GBB GoodGGUF Q4ModerateDetails
RTX 3080 12GB12 GBB GoodGGUF Q4ModerateDetails
RTX 3080 10GB10 GBB GoodGGUF Q4ModerateDetails
RTX 3070 Ti8 GBC UsableGGUF Q4SlowDetails
RTX 30708 GBC UsableGGUF Q4SlowDetails
RTX 3060 Ti8 GBC UsableGGUF Q4SlowDetails
RTX 50508 GBD BarelyGGUF Q4SlowDetails
RTX 306012 GBC UsableGGUF Q4SlowDetails
RTX 2080 Ti11 GBC UsableGGUF Q4SlowDetails
RTX 2080 Super8 GBD BarelyGGUF Q4SlowDetails
RTX 20808 GBD BarelyGGUF Q4SlowDetails
RTX 2070 Super8 GBD BarelyGGUF Q4SlowDetails
RTX 20708 GBD BarelyGGUF Q4SlowDetails
RTX 2060 Super8 GBD BarelyGGUF Q4SlowDetails
RTX 20606 GBD BarelyOffloadVery SlowDetails
GTX 1080 Ti11 GBC UsableGGUF Q4SlowDetails
GTX 10808 GBD BarelyGGUF Q4SlowDetails
GTX 1070 Ti8 GBD BarelyGGUF Q4SlowDetails
GTX 10708 GBD BarelyGGUF Q4SlowDetails
GTX 1060 6GB6 GBD BarelyOffloadVery SlowDetails

AMD

GPUVRAMRatingRuns asSpeed
RX 9070 XT16 GBB GoodFP8ModerateDetails
RX 907016 GBB GoodFP8ModerateDetails
RX 7900 XTX24 GBC UsableFP16ModerateDetails
RX 9070 GRE12 GBC UsableFP8ModerateDetails
RX 7900 XT20 GBB GoodGGUF Q4ModerateDetails
RX 9060 XT 16GB16 GBB GoodFP8ModerateDetails
RX 9060 XT 8GB8 GBC UsableGGUF Q4SlowDetails
RX 7900 GRE16 GBB GoodGGUF Q4ModerateDetails
RX 7800 XT16 GBB GoodGGUF Q4ModerateDetails
RX 7700 XT12 GBB GoodGGUF Q4SlowDetails
RX 7600 XT16 GBB GoodGGUF Q4SlowDetails
RX 76008 GBD BarelyGGUF Q4SlowDetails
RX 6950 XT16 GBB GoodGGUF Q4SlowDetails
RX 6900 XT16 GBB GoodGGUF Q4SlowDetails
RX 6800 XT16 GBB GoodGGUF Q4SlowDetails
RX 680016 GBB GoodGGUF Q4SlowDetails
RX 6700 XT12 GBC UsableGGUF Q4SlowDetails
RX 6600 XT8 GBD BarelyGGUF Q4SlowDetails
RX 66008 GBD BarelyGGUF Q4SlowDetails

Apple

GPUVRAMRatingRuns asSpeed
M5 Ultra96 GBC UsableFP16FastDetails
M3 Ultra96 GBC UsableFP16FastDetails
M4 Max48 GBC UsableFP16FastDetails
M5 Max48 GBC UsableFP16FastDetails
M4 Pro24 GBF Can't RunFP16SlowDetails
M5 Pro24 GBF Can't RunFP16ModerateDetails
M416 GBD BarelyGGUF Q4SlowDetails
M3 Max36 GBD BarelyFP16ModerateDetails
M3 Pro18 GBD BarelyGGUF Q4SlowDetails
M516 GBD BarelyGGUF Q4SlowDetails
M616 GBD BarelyGGUF Q4SlowDetails
M316 GBD BarelyGGUF Q4SlowDetails
M2 Ultra192 GBC UsableFP16FastDetails
M2 Max96 GBC UsableFP16FastDetails
M2 Pro32 GBD BarelyFP16ModerateDetails
M224 GBF Can't RunFP16SlowDetails
M1 Ultra128 GBC UsableFP16FastDetails
M1 Max64 GBD BarelyFP16ModerateDetails
M1 Pro32 GBD BarelyFP16SlowDetails
M116 GBF Can't RunGGUF Q4SlowDetails

Frequently asked questions

How much VRAM does Flux Kontext Dev need?

Flux Kontext Dev needs at least 6 GB of VRAM, 12 GB recommended, and 24 GB to run at full FP16 precision.

Can Flux Kontext Dev run on 8 GB of VRAM (e.g. NVIDIA RTX 4060)?

On the NVIDIA RTX 4060: yes, in GGUF Q4 (rating D, barely).

Can Flux Kontext Dev run on the NVIDIA RTX 3060 (12 GB)?

Yes, in GGUF Q4 (rating C, usable).

Which GPUs can run Flux Kontext Dev?

78 of the 78 GPUs we track can run it, and 26 run it well (rating B or better). The cheapest one that runs it well is the AMD RX 7600 XT (16 GB, about $329).

Does Flux Kontext Dev work on AMD or Apple Silicon?

19 AMD Radeon and 20 Apple Silicon chips in our list can run it. There is no MPS backend, so it may not work on Apple Silicon.