Can My GPU Run FramePack I2V HY FP8?

Image to Video · VRAM requirements and compatibility for 78 GPUs

Home › AI Models › FramePack I2V HY FP8

Animate images with frame-by-frame control. FramePack I2V HY FP8 is a image to video model — developed by lllyasviel, released 2025-04, 13B parameters, 28.0 GB download, license: apache-2.0.

Short answer: you need at least 8 GB of VRAM (16 GB recommended). 76 of 78 GPUs can run it; the smallest NVIDIA card that can is the GTX 1070 (8 GB).

Check FramePack I2V HY FP8 on your GPU

FramePack I2V HY FP8 VRAM requirements

FormatVRAM
FP16 (full precision)32 GB
FP816 GB
Minimum8 GB
Recommended16 GB
Optimal24 GB

Tip: Constant VRAM regardless of video length. FP8 model is 16GB. Needs offload on 8GB.

Available as: ComfyUI, FP8 versions, CPU offloading.

Official pages: GitHub

Which GPUs can run FramePack I2V HY FP8?

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 GBB GoodFP8FastDetails
RTX 5070 Ti16 GBB GoodFP8ModerateDetails
RTX 507012 GBC UsableOffloadVery SlowDetails
RTX 5060 Ti 16GB16 GBC UsableFP8ModerateDetails
RTX 5060 Ti 8GB8 GBD BarelyOffloadVery SlowDetails
RTX 50608 GBD BarelyOffloadVery SlowDetails
RTX 409024 GBA GreatFP8FastDetails
RTX 4080 Super16 GBB GoodFP8FastDetails
RTX 408016 GBB GoodFP8ModerateDetails
RTX 4070 Ti Super16 GBB GoodFP8ModerateDetails
RTX 4070 Ti12 GBB GoodOffloadVery SlowDetails
RTX 4070 Super12 GBC UsableOffloadVery SlowDetails
RTX 407012 GBC UsableOffloadVery SlowDetails
RTX 4060 Ti 16GB16 GBC UsableFP8ModerateDetails
RTX 4060 Ti 8GB8 GBD BarelyOffloadVery SlowDetails
RTX 40608 GBD BarelyOffloadVery SlowDetails
RTX 3090 Ti24 GBB GoodOffloadVery SlowDetails
RTX 309024 GBB GoodOffloadVery SlowDetails
RTX 3080 Ti12 GBB GoodOffloadVery SlowDetails
RTX 3080 12GB12 GBB GoodOffloadVery SlowDetails
RTX 3080 10GB10 GBC UsableOffloadVery SlowDetails
RTX 3070 Ti8 GBD BarelyOffloadVery SlowDetails
RTX 30708 GBD BarelyOffloadVery SlowDetails
RTX 3060 Ti8 GBD BarelyOffloadVery SlowDetails
RTX 50508 GBD BarelyOffloadVery SlowDetails
RTX 306012 GBC UsableOffloadVery SlowDetails
RTX 2080 Ti11 GBC UsableOffloadVery SlowDetails
RTX 2080 Super8 GBD BarelyOffloadVery SlowDetails
RTX 20808 GBD BarelyOffloadVery SlowDetails
RTX 2070 Super8 GBD BarelyOffloadVery SlowDetails
RTX 20708 GBD BarelyOffloadVery SlowDetails
RTX 2060 Super8 GBD BarelyOffloadVery SlowDetails
RTX 20606 GBF Can't Run——Details
GTX 1080 Ti11 GBC UsableOffloadVery SlowDetails
GTX 10808 GBD BarelyOffloadVery SlowDetails
GTX 1070 Ti8 GBD BarelyOffloadVery SlowDetails
GTX 10708 GBD BarelyOffloadVery SlowDetails
GTX 1060 6GB6 GBF Can't Run——Details

AMD

GPUVRAMRatingRuns asSpeed
RX 9070 XT16 GBD BarelyFP8ModerateDetails
RX 907016 GBD BarelyFP8ModerateDetails
RX 7900 XTX24 GBC UsableOffloadVery SlowDetails
RX 9070 GRE12 GBD BarelyOffloadVery SlowDetails
RX 7900 XT20 GBC UsableOffloadVery SlowDetails
RX 9060 XT 16GB16 GBD BarelyFP8ModerateDetails
RX 9060 XT 8GB8 GBF Can't RunOffloadVery SlowDetails
RX 7900 GRE16 GBD BarelyOffloadVery SlowDetails
RX 7800 XT16 GBD BarelyOffloadVery SlowDetails
RX 7700 XT12 GBD BarelyOffloadVery SlowDetails
RX 7600 XT16 GBD BarelyOffloadVery SlowDetails
RX 76008 GBF Can't RunOffloadVery SlowDetails
RX 6950 XT16 GBD BarelyOffloadVery SlowDetails
RX 6900 XT16 GBD BarelyOffloadVery SlowDetails
RX 6800 XT16 GBD BarelyOffloadVery SlowDetails
RX 680016 GBD BarelyOffloadVery SlowDetails
RX 6700 XT12 GBD BarelyOffloadVery SlowDetails
RX 6600 XT8 GBF Can't RunOffloadVery SlowDetails
RX 66008 GBF Can't RunOffloadVery SlowDetails

Apple

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

Frequently asked questions

How much VRAM does FramePack I2V HY FP8 need?

FramePack I2V HY FP8 needs at least 8 GB of VRAM, 16 GB recommended, and 32 GB to run at full FP16 precision.

Can FramePack I2V HY FP8 run on 8 GB of VRAM (e.g. NVIDIA RTX 4060)?

On the NVIDIA RTX 4060: yes, with CPU offloading (rating D, barely).

Can FramePack I2V HY FP8 run on the NVIDIA RTX 3060 (12 GB)?

Yes, with CPU offloading (rating C, usable).

Which GPUs can run FramePack I2V HY FP8?

76 of the 78 GPUs we track can run it, and 12 run it well (rating B or better). The cheapest one that runs it well is the NVIDIA RTX 4070 Ti (12 GB, about $699).

Does FramePack I2V HY FP8 work on AMD or Apple Silicon?

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