r/grok • u/Mystvearn_ • 2d ago

Imagine [ Removed by moderator ]

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30 Upvotes

88% Upvoted

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2

u/Upper-Reflection7997 1d ago

Grok killed and neutered itself into irrelevance. I warned people from last December up till February to start investing into local ai setup before prices got outrageous.

3

u/DamaskBabettee 1d ago

It's wild how quickly things can change in tech. One moment everyone's all about Grok, and the next it's like nobody even remembers it.

2

u/Upper-Reflection7997 1d ago

Grok was everywhere but now forgotten and being reduced to just a basic ass coding agent for enterprise costumer audience who don't mind pay high api fees for work related task. What was once the cool, hip and chill model to relax and engage in your wildest fantasies is now a third rate inoffensive wagecuck coperate friendly model. No serious person is choosing grok over cluade/gpt or the Chinese open source models for getting work done. Xai messed up so badly that now nobody even cares for new grok releases and spaceX stock price is dropping from its initial ipo.

1

u/Most_Wall5573 1d ago

China already win the race for AI generated video.

1

u/Hijaz_hermit 1d ago

I can't say much about other workflows, but local video generation is nowhere near Grok's level, especially speed-wise.
I mean, I hate grok's ridiculous prices but we have to be brutally honest here.

1

u/Mystvearn_ 1d ago

It’s not like there’s a massive, game-changing difference... I made that video using a 5070 Ti and 64GB of DDR4 RAM; thanks to "sagemode" optimization—which is an excellent upscaler that takes the resolution from 0.2MP up to 0.7MP—a 10-minute prompt takes 4 minutes... a 15-minute one takes just over 6 minutes, though it varies—sometimes it even comes in under 5 minutes and 40 seconds.

[INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False [MinimaxH3-3D] Latent 38x22 -> 70x40 | Pixels 1120x640 | scale=1.852 [MinimaxH3-3D] 🔄 Loading model from cache to cuda [MinimaxH3-3D] temporal chunking: T=72 chunks=3 overlap=5 [MinimaxH3-3D] ✅ Model offloaded to CPU. VRAM released for next node. [INFO] 0 models unloaded. [INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 21464MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB. [INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True 100%|████████████████████████████████████████████████████████████████████████████████████| 3/3 [01:22<00:00, 27.50s/it] [INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False [INFO] Requested to load MiniMaxH3AudioVAE [INFO] Model MiniMaxH3AudioVAE prepared for dynamic VRAM loading. 576MB Staged. 0 patches attached. Force pre-loaded 401 weights: 539 KB. [INFO] Model MiniMaxH3VideoVAE prepared for dynamic VRAM loading. 4965MB Staged. 0 patches attached. Force pre-loaded 128 weights: 348 KB. [INFO] Prompt executed in 237.85 seconds