Datasheet for local AI49 models98 GPUsData read 2026-09-25
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RTX 4070 Laptop 8 GB for local AI

Which image and video models run on the RTX 4070 Laptop 8 GB, which file to download for each, and how much VRAM they need.

NVIDIA8 GB GDDR6 · 128-bit · Ada Lovelace · 35–115 WData 2026-09-25
VRAM8 GB
MemoryGDDR6
Bus128-bit
Bandwidth—
ArchitectureAda Lovelace
Launched2023-02
Power35–115 W
Runs well8 of 49

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

01What runs on it

ModelVerdictBest fileSizeNeeded
image models
FLUX.1 [dev]TightQ3_K_S5.2 GB7.5 GB
FLUX.1 [schnell]TightQ3_K_S5.2 GB7.5 GB
FLUX.1 Kontext [dev]TightQ3_K_M5.4 GB8.0 GB
FLUX.1 Krea [dev]TightQ3_K_M5.4 GB7.7 GB
FLUX.1 Fill [dev]TightQ3_K_S5.2 GB7.8 GB
FLUX.2 [dev]Not practicalQ2_K12.9 GB16.2 GB
FLUX.2 [klein] 9BTightQ3_K_M4.8 GB7.1 GB
FLUX.2 [klein] 4BRuns wellFP84.1 GB5.9 GB
Krea 2 (Turbo)TightQ2_K4.9 GB7.5 GB
Qwen-ImageOffload onlyQ2_K7.1 GB9.9 GB
Qwen-Image-Edit (2511)Offload onlyQ4_K_M13.2 GB16.2 GB
Qwen-Image 2.1RunsQ5_K_M5.0 GB7.3 GB
Z-Image TurboRunsQ6_K5.9 GB7.9 GB
Z-Image (base)RunsQ5_K_M5.6 GB7.6 GB
Ideogram 4Offload onlyQ4_16.2 GB14.7 GB
Boogu-Image (Turbo)Offload onlyQ4_17.4 GB10.0 GB
ERNIE-Image (Turbo)RunsQ4_K_M5.0 GB7.3 GB
HiDream-O1-ImageOffload onlyFP88.1 GB10.9 GB
Mage-Flow (Microsoft)Runs wellINT84.2 GB6.0 GB
Lumina Image 2.0Runs well16-bit5.2 GB7.0 GB
HiDream-I1 (Full)Offload onlyQ2_K6.6 GB9.4 GB
HiDream-I1 (Dev)Offload onlyQ2_K6.6 GB9.4 GB
Stable Diffusion 3.5 LargeRunsQ4_15.3 GB7.6 GB
Stable Diffusion 3.5 MediumRuns well16-bit5.1 GB6.9 GB
Chroma1-HDRunsQ4_K_M5.6 GB7.9 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 2.1Offload onlyQ4_K_M11.3 GB14.6 GB
video models
Wan 2.1 T2V 14BOffload onlyQ4_K_M10.1 GB14.4 GB
Wan 2.1 T2V 1.3BRuns well16-bit2.8 GB5.6 GB
Wan 2.1 I2V 14B 480POffload onlyQ4_K_M11.3 GB15.6 GB
Wan 2.1 I2V 14B 720POffload onlyQ4_K_M11.3 GB18.1 GB
Wan 2.1 VACE 14BOffload onlyQ4_K_M11.6 GB16.4 GB
Wan 2.2 T2V A14BOffload onlyQ2_K5.3 GB9.6 GB
Wan 2.2 I2V A14BOffload onlyQ2_K5.3 GB9.6 GB
Wan 2.2 TI2V 5BRunsQ5_K_M3.8 GB7.6 GB
Wan 2.2 Animate 14BOffload onlyQ4_K_M11.5 GB16.8 GB
Wan Animate 2 (14B)Offload onlyQ4_K_M11.3 GB16.6 GB
Wan 2.2 S2V 14BOffload onlyQ4_K_M13.9 GB18.7 GB
SCAIL-2 (character animation)Offload onlyQ4_K_M11.5 GB16.8 GB
HunyuanVideo (13B, original)Offload onlyQ4_K_M7.9 GB12.2 GB
LTX-Video 13B (0.9.8)Offload onlyQ2_K4.7 GB9.0 GB
HunyuanVideo 1.5Offload onlyQ4_K_M5.1 GB9.4 GB
LTX-2 (19B)Offload onlyQ4_K_M12.8 GB17.6 GB
LTX-2.3 (22B)Offload onlyQ4_K_M14.3 GB19.1 GB
LTX-2.5 (22B)Offload onlyQ4_K_M15.1 GB19.9 GB
MiniMax H3 (33B)Not practicalQ3_K_M15.6 GB21.4 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 Laptop 8 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.) As a laptop GPU it runs at a lower power limit than desktop cards (35–115 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.

03Measured and reported results

LabelModelSetupResultPeak VRAMDateSource
reportedMiniMax H3 Prunedpruned int8 convrot (FL2VA/Ref2VA) · 832x480
“On a laptop with an RTX 4070 (8GB VRAM) and 32GB of RAM, we generated one 832×480, 15-second clip in 45 minutes.”
15-second clip, 24 fps, with audio; ComfyUI I2V/R2V workflows (which one not stated); 45 min = 2700 s; steps not stated
2700 s / clip—2026-08-04metallab.ai →

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.