What, if any, AI vid generation can I fit on my 12gb 3060, Ryzen 9 5900, with 32 or 64gb ram?
Your system — RTX 3060 12GB, Ryzen 9 5900, 32–64GB RAM — is surprisingly capable for AI video generation at a local level, though with **some limitations** depending on model size and resolution. Here’s a breakdown of what you **can run**, and where you’ll hit walls:
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### ✅ **Local AI Video Generation You Can Run**
(assuming you’re fine with lower resolution or frame rates during generation):
#### 🟢 **ComfyUI + SVD / SVD-XT + AnimateDiff**
– **Usage**: Text/image-to-video (up to ~4–8s clips, 14–24fps).
– **Memory fits**: These diffusion-based models (e.g., `svd`, `animatediff`) run reasonably well on 12GB if:
– Resolution stays at **512×512 or 768×512**
– Batch size = 1, and **VRAM-efficient variants** like `SVD-light` are used.
– **Tools**: Run in **ComfyUI** or **InvokeAI**, both with AnimateDiff node.
– **Bonus**: With `xformers` and **optimized samplers**, you can shave VRAM down and get decent speeds.
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#### 🟢 **Deforum (Stable Diffusion Video via interpolation/motion)**
– **Usage**: Motion from stills via camera movement & noise interpolation.
– Runs well on 12GB cards, especially with **SD 1.5-based models**.
– Limited by VRAM when using SDXL or high-res renders, but still doable if you manage settings.
– **Output**: Stylized 15–30s clips, good for trippy or artistic sequences.
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### 🟡 **Possible with Tweaks / Lower Quality / Patience**
#### 🔶 **Pika 1.0 or Runway-like Open Source Imitations**
– Open-source Pika-style tools (e.g. **Zer0Scope, ModelScope-T2V**) **can** run on 12GB with:
– Half precision (`float16`)
– Low res (e.g. 256×256)
– Patience (slow inference per frame)
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### 🔴 **Out of Reach Locally**
#### ❌ **Sora, RunwayML Gen-2, Pika 1.0 (Cloud)**:
– Require **multiple GPUs**, higher VRAM (20–40GB+), and heavy optimization.
– Sora (OpenAI) is cloud-only and not open source.
– **Note**: You can still use **cloud credits** (e.g. Colab Pro+, Paperspace) for short jobs.
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### Tips for Getting the Most Out of Your 12GB VRAM
– Use **low-res** (512×512 or 576×320) for AnimateDiff.
– Enable **memory-efficient attention** (e.g. `xformers`, `flash-attn`).
– Stick with **SD 1.5-compatible** models (SDXL is heavier).
– Use **VRAM monitors** (like `nvidia-smi`) to fine-tune settings.
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### TL;DR:
– ✅ **AnimateDiff**, **Deforum**, and **SVD-light**: Yes, with smart settings.
– ⚠️ **SDXL + high-res** video: Limited, unless very optimized.
– ❌ **Sora, RunwayML Gen-2**-level models: No go locally — cloud only.
Want a quick starter setup for AnimateDiff or ComfyUI that fits your card?