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16 GB VRAM16 tools fit this tier

AI tools that run on 16 GB VRAM

Sixteen gigabytes is where things stop feeling tight. Apple Silicon Macs with 16 GB unified memory hit similar territory. Local video diffusion becomes practical (LTX-Video, CogVideoX 5B), and EXL2 LLM quants open up new throughput options.

Typical GPUs in this tier
RTX 4070 Ti SUPERRTX 4080 (16 GB)RTX 5070 TiApple M-series 16 GB unified

Capabilities

What you can run

  • LTX-Video and CogVideoX 5B locally
  • AnimateDiff with SDXL motion modules
  • EXL2 quantized LLMs (better throughput than GGUF)
  • Flux.1 [dev] full FP16 (just barely)
  • Multi-pass ComfyUI workflows without OOM

What stays out of reach

  • HunyuanVideo 13B at sensible speeds
  • Wan 2.2 14B (needs 24 GB+)
  • 70B LLMs without partial CPU offload

Recommended tools for 16 GB VRAM

Sorted by best fit for this tier — tools designed around your VRAM budget first, then by our power-user score.

Modal

Serverless Python for GPU workloads.

Freemium 16–80 GB VRAM
Min VRAM
16 GB
GPU class
Datacenter GPU
Quant
Actually FreeWatermark-FreeHobbyist-FriendlyAPI

AI-Toolkit (Ostris)

Modern training framework — Flux, SDXL, SD3 LoRAs in YAML.

Open Source 16–24 GB VRAM
Min VRAM
16 GB
GPU class
High-end GPU
Quant
BF16
Actually FreeNo SignupOpen SourceWatermark-Free

TRELLIS

Microsoft Research's structured 3D representation model.

Open Source 16–24 GB VRAM
Min VRAM
16 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

Pyramid Flow

Memory-efficient T2V via pyramidal flow matching.

Open Source 16–24 GB VRAM
Min VRAM
16 GB
GPU class
High-end GPU
Quant
BF16
Actually FreeNo SignupOpen SourceWatermark-Free

Wan 2.2

Open-weight video diffusion from Alibaba.

Open Source 12–48 GB VRAM
Min VRAM
12 GB
GPU class
Workstation GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

Kohya_ss

The standard SDXL/Flux LoRA training UI.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

3D Gaussian Splatting

The INRIA original — train your own splats.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
Mid GPU
Quant
FP32
Actually FreeNo SignupWatermark-Free

Hunyuan3D-2

Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.

Open Source 12–16 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeOpen SourceWatermark-FreeAPI

LTX-Video

Real-time-ish open video diffusion from Lightricks.

Open Source 12–16 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

OneTrainer

Modern alternative trainer for SD/SDXL/Flux.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

Stable Diffusion 3.5 Large

Stability's MMDiT flagship at 8B params.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
Mid GPU
Quant
FP16
Actually FreeWatermark-FreeHobbyist-FriendlyAPI

SUPIR

Diffusion-based photorealistic upscaler.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
Mid GPU
Quant
FP16
Actually FreeNo SignupWatermark-FreePlugin

CogVideoX 5B

Open-source text-to-video diffusion from THUDM.

Open Source 12–24 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free

FluxGym

Dead-simple Flux LoRA training in a Gradio UI.

Open Source 12–20 GB VRAM
Min VRAM
12 GB
GPU class
Mid GPU
Quant
FP8
Actually FreeNo SignupOpen SourceWatermark-Free

Stable Video Diffusion

Image-to-video diffusion — 25 frames, 14 or 25 steps.

Open Source 12–16 GB VRAM
Min VRAM
12 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeOpen SourceWatermark-FreeHobbyist-Friendly

ComfyUI-AnimateDiff-Evolved

Animation motion modules for ComfyUI.

Open Source 10–16 GB VRAM
Min VRAM
10 GB
GPU class
High-end GPU
Quant
FP16
Actually FreeNo SignupOpen SourceWatermark-Free