AnimateDiff v3 (SD 1.5) on NVIDIA GeForce RTX 3050 Ti Laptop GPU

Can the NVIDIA GeForce RTX 3050 Ti Laptop GPU run AnimateDiff v3 (SD 1.5)?

56 pts

Yes, it runs well

Runs well. At FP16 it needs about 2.6 GB of 4.0 GB usable, with an estimated speed of 3.4 min.

Best precision: FP16
Memory mode: Sequential CPU offload
Time per clip: 3.4 min
Output: 512×512, 16 frames, 25 steps

Download AnimateDiff v3 (SD 1.5)

Original weights · Hugging Face

Full-precision files from Shanghai AI Lab, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/guoyww/animatediff-motion-adapter-v1-5-3 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Shanghai AI Lab. The weights themselves download from Hugging Face.

github.com/guoyww/AnimateDiff (opens in a new tab)

git clone https://github.com/guoyww/AnimateDiff

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the C grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	15.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	12.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	14.1 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	56.8 / 100	56 ptsUsable (C) · 56 of 100 points: Model quality 15.8/45, Memory fit 12.0/25, Speed 14.1/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the NVIDIA GeForce RTX 3050 Ti Laptop GPU

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	2.6 GB	4.0 GB	3.4 min	Sequential CPU offload	Runs well	56 ptsUsable (C) · 56 of 100 points: Model quality 15.8/45, Memory fit 12.0/25, Speed 14.1/15, Memory use 15.0/15	Original weights (opens in a new tab)

Other hardware that runs it

69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.6/15 NVIDIA GeForce RTX 4060 FP16 · 72 s
64 ptsGood (B) · 64 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.1/15 Intel Arc B580 FP16 · 83 s
64 ptsGood (B) · 64 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.1/15 NVIDIA GeForce RTX 3060 12GB FP16 · 81 s
64 ptsGood (B) · 64 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.1/15 NVIDIA GeForce RTX 4070 SUPER FP16 · 38 s
62 ptsGood (B) · 62 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.8/15 AMD Radeon RX 9070 XT FP16 · 27 s
62 ptsGood (B) · 62 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.8/15 NVIDIA GeForce RTX 4060 Ti 16GB FP16 · 54 s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.