Flux vs Stable Diffusion
Flux vs Stable Diffusion: side-by-side comparison of features, pricing, pros and cons. Pick the right AI tool for your task.
Flux Best for: High-quality open-source image generation | Stable Diffusion Best for: Local AI image generation and fine-tuning | |
| Overview | Open-source image model family by Black Forest Labs. FLUX.2 (Nov 2025) delivers top-tier quality โ free weights, sub-second generation with FLUX.2 klein. | Open-source image generation by Stability AI. SD 3.5 is the current release โ run locally or use via API with full control over every parameter. |
| Pricing | Free | Free |
| Users | Free | Free |
| Advantages | โ
FLUX.2 [klein] generates images in under 1 second on consumer GPUs โ
Open weights โ free to download, fine-tune, and run locally โ
FLUX.2 dev at 32B params: best open-source quality available โ
Available on fal.ai, Replicate, Cloudflare Workers AI, Azure | โ
Free model weights โ run locally with zero per-image cost โ
SD 3.5 Large: 8.1B params, MM-DiT architecture, strong prompt adherence โ
Thousands of community fine-tunes and LoRAs on Civitai and Hugging Face โ
Stability AI turnaround complete โ company financially stable as of 2025 |
| Disadvantages | โFLUX.2 dev (32B params) requires heavy VRAM for local inference โCommunity fine-tune ecosystem smaller than Stable Diffusion โManaged API costs add up at high volume โFLUX Kontext still relatively new โ less tested in production | โRaw output quality behind Flux and Midjourney V7 โRequires 8GB+ VRAM for local use; setup takes time โCommercial use of weights requires paid license from Stability AI โNo managed service โ self-hosting means you own the maintenance |
| Rating | โฆ | โฆ |
| Website | blackforestlabs.ai | stability.ai |