Datasheet for local AI49 models98 GPUsData read 2026-09-25
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RTX 4070 Super 12 GB for local AI

Which image and video models run on the RTX 4070 Super 12 GB, which file to download for each, and how much VRAM they need.

NVIDIA12 GB GDDR6X · 192-bit · 504 GB/s · Ada LovelaceData 2026-09-25
VRAM12 GB
MemoryGDDR6X
Bus192-bit
Bandwidth504 GB/s
ArchitectureAda Lovelace
Launched2024-01
Launch price$599
Runs well17 of 49

Specs: www.nvidia.com · launch: www.nvidia.com

01What runs on it

ModelVerdictBest fileSizeNeeded
image models
FLUX.1 [dev]RunsQ5_K_S8.3 GB10.6 GB
FLUX.1 [schnell]RunsQ5_K_S8.3 GB10.6 GB
FLUX.1 Kontext [dev]RunsQ5_K_M8.4 GB11.0 GB
FLUX.1 Krea [dev]RunsQ5_K_M8.4 GB10.7 GB
FLUX.1 Fill [dev]RunsQ5_K_S8.3 GB10.9 GB
FLUX.2 [dev]Offload onlyQ4_K_M20.1 GB23.4 GB
FLUX.2 [klein] 9BRuns wellFP89.4 GB11.7 GB
FLUX.2 [klein] 4BRuns well16-bit7.8 GB9.6 GB
Krea 2 (Turbo)RunsQ5_K_M8.9 GB11.5 GB
Qwen-ImageTightQ2_K7.1 GB9.9 GB
Qwen-Image-Edit (2511)TightQ2_K7.5 GB10.5 GB
Qwen-Image 2.1Runs wellQ8_07.6 GB9.9 GB
Z-Image TurboRuns wellQ8_07.2 GB9.2 GB
Z-Image (base)Runs wellQ8_07.2 GB9.2 GB
Ideogram 4Offload onlyQ4_16.2 GB14.7 GB
Boogu-Image (Turbo)RunsQ5_18.6 GB11.2 GB
ERNIE-Image (Turbo)Runs wellQ8_08.7 GB11.0 GB
HiDream-O1-ImageRuns wellFP88.1 GB10.9 GB
Mage-Flow (Microsoft)Runs well16-bit8.2 GB10.0 GB
Lumina Image 2.0Runs well16-bit5.2 GB7.0 GB
HiDream-I1 (Full)TightQ3_K_M8.8 GB11.6 GB
HiDream-I1 (Dev)TightQ3_K_M8.8 GB11.6 GB
Stable Diffusion 3.5 LargeRuns wellQ8_08.8 GB11.1 GB
Stable Diffusion 3.5 MediumRuns well16-bit5.1 GB6.9 GB
Chroma1-HDRuns wellFP89.2 GB11.5 GB
SDXL 1.0Runs well16-bit6.9 GB7.1 GB
Illustrious XL / Pony (SDXL anime)Runs well16-bit6.9 GB7.1 GB
Stable Diffusion 1.5Runs well16-bit2.1 GB3.3 GB
HunyuanImage 2.1TightQ2_K7.3 GB10.6 GB
video models
Wan 2.1 T2V 14BTightQ3_K_M7.6 GB11.9 GB
Wan 2.1 T2V 1.3BRuns well16-bit2.8 GB5.6 GB
Wan 2.1 I2V 14B 480POffload onlyQ3_K_M8.6 GB12.9 GB
Wan 2.1 I2V 14B 720POffload onlyQ4_K_M11.3 GB18.1 GB
Wan 2.1 VACE 14BOffload onlyQ3_K_S7.8 GB12.6 GB
Wan 2.2 T2V A14BTightQ3_K_M7.2 GB11.5 GB
Wan 2.2 I2V A14BTightQ3_K_M7.2 GB11.5 GB
Wan 2.2 TI2V 5BRuns wellQ8_05.4 GB9.2 GB
Wan 2.2 Animate 14BTightQ2_K6.5 GB11.8 GB
Wan Animate 2 (14B)TightQ2_K6.5 GB11.8 GB
Wan 2.2 S2V 14BOffload onlyQ4_K_M13.9 GB18.7 GB
SCAIL-2 (character animation)Offload onlyQ2_K7.3 GB12.6 GB
HunyuanVideo (13B, original)TightQ3_K_M6.2 GB10.5 GB
LTX-Video 13B (0.9.8)TightQ3_K_M6.5 GB10.8 GB
HunyuanVideo 1.5RunsQ6_K7.0 GB11.3 GB
LTX-2 (19B)Offload onlyQ2_K8.1 GB12.9 GB
LTX-2.3 (22B)Offload onlyQ2_K8.3 GB13.1 GB
LTX-2.5 (22B)Offload onlyQ2_K8.8 GB13.6 GB
MiniMax H3 (33B)Offload onlyQ4_K_M19.9 GB25.7 GB
MiniMax H3 PrunedOffload onlyQ4_K_M11.6 GB17.4 GB

Calculated from real file sizes plus working memory. How the numbers work.

02Good to know

The RTX 4070 Super 12 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)

03Measured and reported results

LabelModelSetupResultPeak VRAMDateSource
reportedFLUX.1 devQ4_0 GGUF
“1.9s/it with Q4_0”
RTX 4070 Super 12GB; same post: 2.6s/it with Q5_1, 1.3s/it with NF4; resolution not stated; early (Aug 2024) ComfyUI-GGUF
1.9 s/it—2024-08-17huggingface.co →
reportedFLUX.2 klein 4Bflux-2-klein-4b (distilled) + qwen_3_4b
“5 秒でした。”
ComfyUI 4B T2I template (distilled, 4 steps default); resolution not stated; base 4B T2I 37 s incl. model load; distilled edit 14-17 s
5 s / image—2026-01-20note.com →

Reported results are other people's numbers, copied as published, with a link. Settings, drivers and ComfyUI versions differ, so compare them with care. Send yours.