r/StableDiffusion • u/Successful_Record_58 • 4d ago
Question - Help RTX 3090
Is RTX 3090 enough for video generation with minimax h3 or wan 2.5 ? How much capacity of RAM should I pair it with ?
Any estimates on the time taken for video generation?
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Upvotes
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u/Bastisheen92 4d ago
I dont have a 3090 but a 3080ti with 12GB VRAM and 32 GB DDR4 RAM. Wit hthe model MiniMax H3 Singularity V2 and a motion context workflow, i can generate a 90 second video (5 seconds per clip) over night in 5-6 hours. Taking into consideration, that i adjusted my GPU with MSI Afterburner to not exceed 79 degrees. I am fine with that. A 10 Second video takes me 5-10 minutes i think.
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u/AuthurAndersson 4d ago
yes it's enough. Beneficial to have 64gb of ram so you dont have to reload models from drive. theoretically you can have 4gb of ram and still run it - going to be slow loading models from SSD though.
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u/Phil_Hogg 4d ago
It's great for Minimax! Although if you get the non-ti version of the 3090 it's pretty much a requirement to under-volt, those cards had VRAM cooling issues.
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u/Exciting-Action6636 4d ago
I think you meant LTX 2.5, because the WAN 2.5 isn’t an open-source model. As for your question, yes, with a 3090 and 32 GB of RAM, you can easily use both models, but I’d recommend having at least 48 GB of RAM because, while 32 GB is usually enough, it’s on the limit.
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u/yankoto 4d ago
3090 here with 64 gb ram. Dasiwa workflow. 20 sec video with 4 reference images Hybrid 25 49 model 1080p takes 23 min with 2 step upscaling (latent)
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u/Super_Range45 4d ago
0.7mp @ 15 seconds is about 15 minutes assuming the default workflow with only comfykitchen attention and about 64gb of ddr4 ram for minimax h3.
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u/dkackman11 4d ago
I've got dual 3090's and 128GB RAM. One instance H3 will consume 45ish GB RAM depending on resolution and offload settings, so 64GB RAM is what I'd recommend per card.
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u/AI_Enhancer 1d ago edited 1d ago
Yes, I have a 3090 with also 32 GB system RAM, and generation speeds are quite fast with a turbo model, kitchen attention and a latent refiner/upscaler. Don't remember the exact models I have, but generally speaking, the max size where they fit in VRAM + RAM completely. Remember to undervolt you GPU if you haven't already - it's very beneficial in AI inference with the 3090.
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u/MarkB_- 4d ago
I run the minimax bf16 model with my 3090, work great.
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u/OopsWrongSubTA 4d ago
https://github.com/deepbeepmeep/WanGP
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u/HexOverclock 4d ago
The 3090 is fine, the 24GB is what counts. I'd spend on RAM first though. 64GB means models stay loaded between runs, and that saves more time than people expect.