RTX 4060 · 8GB Ada Lovelace
SeedVR2 on an RTX 4060: the 8GB reality
The RTX 4060 carries 8GB of GDDR6 on an Ada Lovelace die, which puts SeedVR2 squarely in the 8GB experiment tier. It is not an officially supported floor, but a careful run can work: 3B INT8 model, one small source, VAE tiling when decode fails, and batch one for stills or five for video. This page maps that card to the settings that give it the best chance.
This is a SeedVR2.net RTX 4060 explainer based on the published SeedVR2 8GB guidance. It is not a benchmark of any specific 4060 model and not a promise that your card will pass. Validate with one small source.
A hosted test removes the 4060's ceiling
When the 4060's 8GB ceiling blocks a job, produce one hosted result on the same crop. You learn whether SeedVR2 helps your file without waiting on the local tuning loop.
First eligible 5-second 720p Standard run: free
Verify your email to use your first video run without credits or a card. A failed run does not use the trial; longer clips and other settings show their exact credit cost before submission.
Browser upload limit: 500 MB. For larger files, paste a publicly accessible HTTPS URL. Each job supports videos up to 10 minutes.
Quick scene presets
Presets pick a model for a common scenario. You can still switch models manually below.
Upscaled preview
Compare the enhanced output before exporting the final file.
Upload a clip, paste a direct video URL, or load the sample. No example video is downloaded until you ask for it.
Tip: keep your original FPS and avoid pre-scaling. The upscaler handles cadence better than most NLE plugins.
Test before processing the full video
Upscaling cannot recreate detail removed by heavy messaging compression. Test the hardest 5–10-second segment first; a higher-priced model is not automatically a better fit.
RTX 4060, by the numbers
These values map the published 8GB guidance onto the RTX 4060's 8GB GDDR6. They are starting points to validate on your own card.
- VRAM
- 8GB GDDR6
- Model
- 3B INT8
- Target
- 720p–1080p first
- Batch
- 1 image / 5 video
Ada Lovelace; 8GB puts it in the experiment tier.
Or GGUF Q4_K_M/Q8_0 when the model will not fit.
Then 2K stills; avoid long 4K video first.
Small but useful; do not shrink video below the stable range.
The 4060 is an 8GB card, not a 12GB card
The RTX 4060 ships with 8GB of GDDR6. That single fact places every SeedVR2 run on the 8GB experiment tier: no official floor, a documented roughly 18GB testing point, and success that depends on quantization, tiling, and small batches.
Ada Lovelace is fast, but speed does not create VRAM. A 4060 will compute the tiles quickly and still fail the moment a model, frame, or resolution needs more memory than the card has.
Settings tuned for the 4060
Start with the 3B INT8 model and one small source at 720p or 1080p. If the model will not fit, drop to a GGUF Q4_K_M or Q8_0. Enable VAE tiling near 1024 tile and 128 overlap only when the log shows decode pressure.
Keep batch one for stills and batch five for video. BlockSwap is the last lever, after a repeatable CUDA OOM proves even the quantized model cannot fit.
- 3B INT8 or GGUF Q4_K_M/Q8_0.
- VAE tiling near 1024/128 when decode fails.
- BlockSwap last, after a repeatable OOM.
Watch thermals and background load
The 4060 runs cool under light load, but a long swapped run can still throttle. Close other GPU-heavy apps so the full 8GB is available to the job, and watch for thermal throttling on long batches.
An 8GB card under a screen recorder plus another AI tool is effectively a 6GB card. The margin on 8GB is thin enough that background load, not the model, is often what pushes the run over the edge.
Is a 4060 worth running SeedVR2 on?
Only if you need local ownership or a repeatable offline graph. For still-image experiments, the 4060 can produce useful 2K results with patience. For video or 4K, it spends more time swapping than producing.
If the goal is one finished file, a hosted test is faster and cheaper. Use the 4060 for repeatable work after you have proven with a hosted test that SeedVR2 helps your media.
Comparing the 4060 to the rest of the line
The RTX 3060 with 12GB often runs SeedVR2 more comfortably than the 4060's 8GB, because VRAM matters more than generation for this workload. A 12GB Ampere card beats an 8GB Ada card for SeedVR2 headroom.
If you are choosing a card for SeedVR2, prioritize VRAM over die generation. More memory buys larger models, larger frames, and larger video batches; a newer architecture mainly buys speed.
RTX 4060 guidance limits
This maps the published 8GB guidance to the RTX 4060's 8GB GDDR6. Specific board, driver, and cooling variants change behavior; validate on your own card with one small source.
- Different 4060 boards share 8GB but vary in cooling and factory clocks.
- Thermal throttling on long swapped runs changes results.
- No SeedVR2 8GB floor exists; success remains an experiment.
SeedVR2 RTX 4060 questions
Is an RTX 3060 12GB better than a 4060 for SeedVR2?
Usually, yes. VRAM matters more than die generation for SeedVR2, and the 3060's 12GB buys larger models, larger frames, and larger batches than the 4060's 8GB.
Can the RTX 4060 run SeedVR2?
It can run smaller workloads with patience, but it is an 8GB card in the experiment tier. Use 3B INT8 or GGUF Q4_K_M/Q8_0, VAE tiling when decode fails, and batch one for stills or five for video.
Is 8GB enough for SeedVR2 on a 4060?
There is no official 8GB floor; the ComfyUI maintainer reports testing from roughly 18GB. The 4060's 8GB can run smaller still-image jobs through quantization and tiling, but video and 4K spend most of the time swapping.
Should I run SeedVR2 locally on a 4060?
Only for repeatable or offline work. For one finished file, a hosted test is faster and cheaper. Use the 4060 after a hosted test proves SeedVR2 helps your media.