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FLUX.1 Fill [dev] VRAM requirements

The inpainting and outpainting model from the FLUX.1 Tools release. Same 12B size class as FLUX.1 dev.

Released 2024-11Licence: FLUX.1 [dev] Non-Commercial LicenseSteps: 20–30Text encoder: T5-XXL (4.9 GB as FP8)
TypeImage
Parameters12B
Fits entirely from8 GB
8-bit or better from16 GB

01The files, and how much VRAM each needs

FileSizeNeededMin. VRAMQualitySource
16-bit23.8 GB26.4 GB27 GBthe original weightsblack-forest-labs/FLUX.1-Fill-dev →
Q8_012.7 GB15.3 GB16 GBpractically identical to the originalYarvixPA/FLUX.1-Fill-dev-GGUF →
Q6_K9.9 GB12.5 GB13 GBvery close to the originalYarvixPA/FLUX.1-Fill-dev-GGUF →
Q5_K_S8.3 GB10.9 GB11 GBclose; small differences in fine detailYarvixPA/FLUX.1-Fill-dev-GGUF →
Q4_K_S6.8 GB9.4 GB10 GBgood; some loss in fine detail and textYarvixPA/FLUX.1-Fill-dev-GGUF →
Q3_K_S5.2 GB7.8 GB8 GBnoticeable loss of detailYarvixPA/FLUX.1-Fill-dev-GGUF →

“Needed” = file + 1.8 GB working memory + 0.8 GB system reserve.

03Best GPU for FLUX.1 Fill

The cheapest cards (by launch price) that run it well, and every card sorted by memory: best GPU for FLUX.1 Fill → Planning bigger images or longer clips? Open the calculator →

04By graphics card

GPUVRAMVerdictBest fileNeeded
Desktop graphics cards
RTX 2060 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 3050 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 2070 Super 8 GB8 GBTightQ3_K_S7.8 GB
RTX 2080 Super 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3050 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3060 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3060 Ti 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3070 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3070 Ti 8 GB8 GBTightQ3_K_S7.8 GB
RTX 4060 8 GB8 GBTightQ3_K_S7.8 GB
RTX 4060 Ti 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5050 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5060 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5060 Ti 8 GB8 GBTightQ3_K_S7.8 GB
RX 7600 8 GB8 GBTightQ3_K_S7.8 GB
RX 9050 8 GB8 GBTightQ3_K_S7.8 GB
RX 9060 XT 8 GB8 GBTightQ3_K_S7.8 GB
Arc B570 10 GB10 GBRunsQ4_K_S9.4 GB
RTX 3080 10 GB10 GBRunsQ4_K_S9.4 GB
RTX 2080 Ti 11 GB11 GBRunsQ5_K_S10.9 GB
Arc B580 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 2060 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 3060 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 3080 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 3080 Ti 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 4070 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 4070 Super 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 4070 Ti 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 5070 12 GB12 GBRunsQ5_K_S10.9 GB
RX 7700 XT 12 GB12 GBRunsQ5_K_S10.9 GB
RX 9070 GRE 12 GB12 GBRunsQ5_K_S10.9 GB
Arc A770 16 GB16 GBRuns wellQ8_015.3 GB
RTX 4060 Ti 16 GB16 GBRuns wellQ8_015.3 GB
RTX 4070 Ti Super 16 GB16 GBRuns wellQ8_015.3 GB
RTX 4080 16 GB16 GBRuns wellQ8_015.3 GB
RTX 4080 Super 16 GB16 GBRuns wellQ8_015.3 GB
RTX 5060 Ti 16 GB16 GBRuns wellQ8_015.3 GB
RTX 5070 Ti 16 GB16 GBRuns wellQ8_015.3 GB
RTX 5080 16 GB16 GBRuns wellQ8_015.3 GB
RX 7600 XT 16 GB16 GBRuns wellQ8_015.3 GB
RX 7800 XT 16 GB16 GBRuns wellQ8_015.3 GB
RX 7900 GRE 16 GB16 GBRuns wellQ8_015.3 GB
RX 9060 XT 16 GB16 GBRuns wellQ8_015.3 GB
RX 9070 16 GB16 GBRuns wellQ8_015.3 GB
RX 9070 XT 16 GB16 GBRuns wellQ8_015.3 GB
RX 7900 XT 20 GB20 GBRuns wellQ8_015.3 GB
Arc Pro B60 24 GB24 GBRuns wellQ8_015.3 GB
RTX 3090 24 GB24 GBRuns wellQ8_015.3 GB
RTX 3090 Ti 24 GB24 GBRuns wellQ8_015.3 GB
RTX 4090 24 GB24 GBRuns wellQ8_015.3 GB
RX 7900 XTX 24 GB24 GBRuns wellQ8_015.3 GB
Arc Pro B70 32 GB32 GBRuns well16-bit26.4 GB
RTX 5090 32 GB32 GBRuns well16-bit26.4 GB
Laptop GPUs
RTX 3050 Laptop 4 GB4 GBOffload onlyQ4_K_S9.4 GB
RTX 3050 Ti Laptop 4 GB4 GBOffload onlyQ4_K_S9.4 GB
RTX 2060 Laptop 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 3050 Laptop 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 3060 Laptop 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 4050 Laptop 6 GB6 GBOffload onlyQ3_K_S7.8 GB
RTX 2070 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 2070 Super Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 2080 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 2080 Super Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3070 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3070 Ti Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 3080 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 4060 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 4070 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5050 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5060 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RTX 5070 Laptop 8 GB8 GBTightQ3_K_S7.8 GB
RX 7600M 8 GB8 GBTightQ3_K_S7.8 GB
RX 7600M XT 8 GB8 GBTightQ3_K_S7.8 GB
RX 7600S 8 GB8 GBTightQ3_K_S7.8 GB
RX 7700S 8 GB8 GBTightQ3_K_S7.8 GB
RTX 4080 Laptop 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 5070 Laptop 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 5070 Ti Laptop 12 GB12 GBRunsQ5_K_S10.9 GB
RX 7800M 12 GB12 GBRunsQ5_K_S10.9 GB
RTX 3080 Laptop 16 GB16 GBRuns wellQ8_015.3 GB
RTX 3080 Ti Laptop 16 GB16 GBRuns wellQ8_015.3 GB
RTX 4090 Laptop 16 GB16 GBRuns wellQ8_015.3 GB
RTX 5080 Laptop 16 GB16 GBRuns wellQ8_015.3 GB
RX 7900M 16 GB16 GBRuns wellQ8_015.3 GB
RTX 5090 Laptop 24 GB24 GBRuns wellQ8_015.3 GB
Unified memory
Radeon 8060S (Strix Halo) 96 GB96 GBRuns well16-bit26.4 GB
Radeon 8065S (Gorgon Halo) 160 GB160 GBRuns well16-bit26.4 GB
Apple Silicon Macs (by memory)
Mac 16 GB12.7 GBRunsQ6_K12.5 GB
Mac 18 GB14.4 GBRunsQ6_K12.5 GB
Mac 24 GB19.6 GBRuns wellQ8_015.3 GB
Mac 32 GB26.8 GBRuns well16-bit26.4 GB
Mac 36 GB30.2 GBRuns well16-bit26.4 GB
Mac 48 GB40.2 GBRuns well16-bit26.4 GB
Mac 64 GB55.7 GBRuns well16-bit26.4 GB
Mac 96 GB85 GBRuns well16-bit26.4 GB
Mac 128 GB115.4 GBRuns well16-bit26.4 GB
Mac 192 GB175.4 GBRuns well16-bit26.4 GB
Mac 256 GB236.9 GBRuns well16-bit26.4 GB
Mac 512 GB498.1 GBRuns well16-bit26.4 GB

05Text encoder, VAE and other files

FileFolderSizeWhen
CLIP-L
clip_l.safetensors
models/text_encoders0.2 GBrequiredDownload →
T5-XXL FP8
t5xxl_fp8_e4m3fn.safetensors
models/text_encoders4.9 GBtext encoder · smaller, recommendedDownload →
T5-XXL FP16
t5xxl_fp16.safetensors
models/text_encoders9.8 GBtext encoder · alternativeDownload →
FLUX.1 VAE (ae)
ae.safetensors
models/vae0.3 GBrequiredDownload →

The files the official ComfyUI workflows load next to the model. Sizes read from Hugging Face (2026-10-01).

06Where the files go in ComfyUI

FileFolderLoader node
Diffusion model (.safetensors: 16-bit, FP8, INT8)ComfyUI/models/diffusion_modelsLoad Diffusion Model
GGUF file (.gguf)ComfyUI/models/unetUnet Loader (GGUF) - from the ComfyUI-GGUF node pack
Text encoderComfyUI/models/text_encodersLoad CLIP / DualCLIPLoader (or the GGUF versions)
VAEComfyUI/models/vaeLoad VAE

07Measured and reported results

No measured results yet. Send yours.

08Training a LoRA for FLUX.1 Fill

No trainer documentation with a VRAM figure for this model was found yet. What the trainers say for other models →

09Every file tracked for FLUX.1 Fill

FileTypeSizeRepo
flux1-fill-dev-Q8_0.ggufQ8_012.73 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q6_K.ggufQ6_K9.86 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q5_1.ggufQ5_19.03 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q5_0.ggufQ5_08.29 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q5_K_S.ggufQ5_K_S8.29 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q4_1.ggufQ4_17.55 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q4_0.ggufQ4_06.81 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q4_K_S.ggufQ4_K_S6.81 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev-Q3_K_S.ggufQ3_K_S5.24 GBYarvixPA/FLUX.1-Fill-dev-GGUF →
flux1-fill-dev.safetensorsBF1623.80 GBblack-forest-labs/FLUX.1-Fill-dev →
flux1-fill-dev-fp8.safetensorsFP811.90 GBcudabenchmarktest/flux1-fill-dev-fp8 →
community upload (~2.8k downloads); e4m3fn/e5m2 not stated

Inpainting/outpainting model from the FLUX.1 Tools release; native ComfyUI (InpaintModelConditioning + DifferentialDiffusion). Same 12B size class as FLUX.1 dev. VAE ae.safetensors 335304388 (BFL repo). HF API param total 11.9B.