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24 GB VRAM26 TOOLS FIT THIS TIER

AI tools that run on 24 GB VRAM

Twenty-four gigabytes is a flexible consumer-workstation tier. It supports upstream-documented Flux LoRA configurations and gives heavy image or video graphs more room, but it does not guarantee that every large model, precision, context, or frame sequence stays fully on the GPU.

YOUR POSITION ON THE VRAM SCALE
TYPICAL GPUS IN THIS TIER //
RTX 3090 / 3090 TiRTX 4090RTX A5000

Capabilities

✓ WHAT YOU CAN RUN

  • HunyuanVideo (GGUF Q4_K_M / FP8)
  • Wan 2.2 14B at FP8
  • Flux LoRA training in Kohya / OneTrainer
  • Larger quantized LLMs when weights, KV cache, and runtime overhead fit together
  • Large-batch SDXL & Flux production runs

✕ WHAT STAYS OUT OF REACH

  • Wan 2.2 14B at BF16 (needs 48 GB)
  • Full fine-tuning of 13B+ models without LoRA
  • High-concurrency serving without budgeting separately for each session’s KV cache
[ READ THE ASSUMPTIONS ]

VRAM tier ≠ universal guarantee

These are planning envelopes. Model variant, precision, resolution, frame count, context, cache, runtime, and offload can move the same workload across tiers. The guide shows how to validate a real ComfyUI graph before buying hardware.

VRAM decision guide →

Recommended tools for 24 GB VRAM

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

vLLM

High-throughput LLM serving for GPUs.

OPEN SOURCE24–80 GB VRAM
VRAM fit24–80 GB

NVIDIA Cosmos

World-foundation models for physical AI.

OPEN SOURCE24–80 GB VRAM
VRAM fit24–80 GB

HunyuanVideo

13B open-weight cinematic text-to-video.

OPEN SOURCE24–48 GB VRAM
VRAM fit24–48 GB

Magi-1

Autoregressive video diffusion at 24 GB.

OPEN SOURCE24–48 GB VRAM
VRAM fit24–48 GB

Mochi 1

Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.

OPEN SOURCE24–60 GB VRAM
VRAM fit24–60 GB

Modal

Serverless Python for GPU workloads.

FREEMIUM16–80 GB VRAM
VRAM fit16–80 GB

TRELLIS

Microsoft Research's structured 3D representation model.

OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB

Pyramid Flow

Memory-efficient T2V via pyramidal flow matching.

OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB

Wan 2.2

Open-weight video diffusion from Alibaba.

OPEN SOURCE12–48 GB VRAM
VRAM fit12–48 GB

Kohya_ss

The standard SDXL/Flux LoRA training UI.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

Hunyuan3D-2

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

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB

LTX-Video

Real-time-ish open video diffusion from Lightricks.

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB

OneTrainer

Modern alternative trainer for SD/SDXL/Flux.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

SUPIR

Diffusion-based photorealistic upscaler.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

CogVideoX 5B

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

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

FluxGym

Dead-simple Flux LoRA training in a Gradio UI.

OPEN SOURCE12–20 GB VRAM
VRAM fit12–20 GB

Transformers

The library every LLM ships against first.

OPEN SOURCE2–24 GB VRAM
VRAM fit2–24 GB

OpenAI Whisper

The reference open-source speech-to-text model.

OPEN SOURCE2–10 GB VRAM
VRAM fit2–10 GB

faster-whisper

Whisper, 4× faster, same accuracy. CTranslate2 backend.

OPEN SOURCE2–6 GB VRAM
VRAM fit2–6 GB

FaceFusion

The most active open face-swap toolkit.

OPEN SOURCE2–8 GB VRAM
VRAM fit2–8 GB