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Can the RX 9070 XT 16 GB run FLUX.1 Krea [dev]?

Yes, but only just: FP8 leaves 1.8 GB free on the RX 9070 XT 16 GB.

Image model · 12B16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4Data 2026-10-01
Runs well
Yes, just.

FP8 (11.9 GB) fits with only 1.8 GB to spare (about 14.2 GB of 16 GB).

Best fileFP8
File size11.9 GB
VRAM needed~14.2 GB
System RAM32 GB+
Memory map · RX 9070 XT 16 GB14.2 GB / 16 GB
08 GB16 GB
Weights FP8 · 11.9 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 1.8 GB

01What to download

PartFileFolderSize
Modelflux1-krea-dev_fp8_scaled.safetensors
FP8 · Comfy-Org/FLUX.1-Krea-dev_ComfyUI
models/diffusion_models11.9 GBDownload →
Text encodert5xxl_fp8_e4m3fn.safetensors
T5-XXL FP8 · comfyanonymous/flux_text_encoders
models/text_encoders4.9 GBDownload →
Text encoderclip_l.safetensors
CLIP-L · comfyanonymous/flux_text_encoders
models/text_encoders0.2 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/Lumina_Image_2.0_Repackaged
models/vae0.3 GBDownload →
Total download · keep about the same free on disk17.4 GB

Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.

02Every FLUX.1 Krea file on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
23.8 GB26.1 GB10.1 GB too bigthe original weightsHugging Face →
FP8 ←
SAFETENSORS · Comfy-Org
11.9 GB14.2 GBfits · 1.8 GB sparepractically identical to the originalHugging Face →
Q8_0
GGUF · QuantStack
12.7 GB15.0 GBfits · 1.0 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
9.8 GB12.1 GBfits · 3.9 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
8.4 GB10.7 GBfits · 5.3 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
6.9 GB9.2 GBfits · 6.8 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · QuantStack
5.4 GB7.7 GBfits · 8.3 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
4.0 GB6.3 GBfits · 9.7 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.5 GB of working memory for FLUX.1 Krea and a 0.8 GB reserve. Sizes 2026-10-01.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run FLUX.1 Krea on a RX 9070 XT 16 GB, send your time per image and peak VRAM and it will appear here, credited.

04About the RX 9070 XT 16 GB

ComfyUI supports AMD GPUs on Windows officially since v0.7.0 (January 2026), through ROCm. Memory works the same as on NVIDIA, so the fit verdicts apply. Some custom nodes are NVIDIA-only. RX 9000 (RDNA 4) GPUs have FP8 hardware, and ComfyUI computes FP8 natively on them with PyTorch 2.7+ and ROCm 6.4+.

16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4. Everything that runs on it →

05Questions

How much VRAM does FLUX.1 Krea need?

Around 6.3 GB with the smallest file (Q2_K) and 14.2 GB with an 8-bit file (FP8). The full 16-bit file needs about 26.1 GB.

Which FLUX.1 Krea file should I download for the RX 9070 XT 16 GB?

FP8 (11.9 GB) from Comfy-Org/FLUX.1-Krea-dev_ComfyUI.

FP8 or Q8_0 for FLUX.1 Krea on the RX 9070 XT 16 GB?

FP8 (11.9 GB): the RX 9070 XT 16 GB computes it natively, while Q8_0 (12.7 GB) is unpacked on the fly.

How much do I need to download for FLUX.1 Krea on the RX 9070 XT 16 GB?

17.4 GB: flux1-krea-dev_fp8_scaled.safetensors, t5xxl_fp8_e4m3fn.safetensors, clip_l.safetensors, ae.safetensors.