Black Forest Labs
FLUX.1 Dev (GGUF)
Highest quality FLUX model. 20-50 steps. Mac with 24GB+ RAM.
About This Model
FLUX.1 Dev (GGUF) by Black Forest Labs is a 12B parameter rectified-flow architecture model designed for text-to-image generation. This model excels in creating high-quality, detailed images from textual descriptions, making it a powerful tool for artists, designers, and content creators who need to visualize complex ideas quickly. The rectified-flow architecture ensures that the generated images maintain a high level of coherence and aesthetic quality, often outperforming models of similar size in terms of visual fidelity and creativity.
In its size class, FLUX.1 Dev holds its own, offering a balance between performance and resource efficiency. While it requires a substantial 14 GB of VRAM, which might be a limiting factor for some users, it delivers results that justify the hardware investment. Compared to other 12B parameter models, it punches above its weight in terms of image quality and consistency, making it a preferred choice for those who prioritize output quality over computational efficiency. Ideal users include professionals with access to high-end GPUs, such as the NVIDIA RTX 3080 or higher, who are looking to generate high-resolution, visually stunning images for commercial or personal projects. Despite its non-commercial license, the model's capabilities make it a valuable asset for creative exploration and prototyping.
Check Your Hardware
See which quantizations of FLUX.1 Dev (GGUF) your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q5_0 | 5 | 12 GB | 14 GB | 18 GB | 100% |
Try It — Diffusion Generation Demo
Click "Generate" to watch how Flux.1 creates an image from noise. Real outputs from RunThisModel.com.

"A cozy wooden cabin in snowy mountains at golden hour sunset"

"A friendly humanoid robot reading a book in a library"

"Gourmet sushi platter, professional food photography"

"Woman scientist in a modern lab, natural lighting"

"Snow leopard on mountain peak at dawn, golden rim light"

"Cyberpunk city at night, neon signs, rain reflections"
Animation simulates the diffusion denoising process at recorded generation speed. Actual generation requires GPU hardware or cloud service.
Frequently Asked Questions
How much VRAM do I need to run FLUX.1 Dev (GGUF)?
FLUX.1 Dev (GGUF) requires 14GB VRAM minimum with Q5_0 quantization. For full precision, you need 14GB VRAM.
What is the best quantization for FLUX.1 Dev (GGUF)?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.