SkyReels V2 Diffusion Forcing 1.3B on Apple M5 Max (64 GB)

Can the Apple M5 Max (64 GB) run SkyReels V2 Diffusion Forcing 1.3B?

64 pts

Yes, it runs well

Runs well. At FP16 it needs about 23.8 GB of 48.0 GB usable, with an estimated speed of 28.7 min.

Best precision: FP16
Memory mode: Everything on GPU
Time per clip: 28.7 min
Output: 960×544, 97 frames, 30 steps

Download SkyReels V2 Diffusion Forcing 1.3B

Original weights · Hugging Face

Full-precision files from Skywork, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/Skywork/SkyReels-V2-DF-1.3B-540P (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Skywork. The weights themselves download from Hugging Face.

github.com/SkyworkAI/SkyReels-V2 (opens in a new tab)

git clone https://github.com/SkyworkAI/SkyReels-V2

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the B 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.	23.4 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	4.8 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	11.5 / 15
Total	64.7 / 100	64 ptsGood (B) · 64 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 4.8/15, Memory use 11.5/15

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

Every precision on the Apple M5 Max (64 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	23.8 GB	48.0 GB	28.7 min	Everything on GPU	Runs well	64 ptsGood (B) · 64 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 4.8/15, Memory use 11.5/15	Original weights (opens in a new tab)
`FP8`	16.7 GB	48.0 GB	25.8 min	Everything on GPU	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 22.9/45, Memory fit 25.0/25, Speed 5.1/15, Memory use 8.0/15	Original weights (opens in a new tab)

Other hardware that runs it

75 ptsGreat (A) · 75 of 100 points: Model quality 22.9/45, Memory fit 25.0/25, Speed 12.2/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 FP8 · 4.5 min
74 ptsGreat (A) · 74 of 100 points: Model quality 22.9/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX FP8 · 5.0 min
73 ptsGreat (A) · 73 of 100 points: Model quality 22.9/45, Memory fit 25.0/25, Speed 13.4/15, Memory use 12.0/15 NVIDIA GeForce RTX 5090 FP8 · 3.8 min
71 ptsGood (B) · 71 of 100 points: Model quality 22.9/45, Memory fit 25.0/25, Speed 8.9/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 FP8 · 8.5 min
68 ptsGood (B) · 68 of 100 points: Model quality 22.9/45, Memory fit 20.0/25, Speed 10.4/15, Memory use 15.0/15 AMD Radeon RX 9070 XT FP8 · 6.3 min
68 ptsGood (B) · 68 of 100 points: Model quality 22.9/45, Memory fit 20.0/25, Speed 10.4/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 FP8 · 6.3 min

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.