Flux 2 Review: The "Perfect" AI Model with a Fatal Flaw (72GB VRAM?!) 🤯
Автор: AINexLayer
Загружено: 2026-01-16
Просмотров: 10
Flux 2 just arrived with insane claims: state-of-the-art image generation, sub-second speed, and the ability to run on consumer hardware. The quality is undeniable, but there is a massive catch that might make it unusable for 99% of people.
In this video, we put the "Rectified Flow Transformer" to the test to see if it’s a revolution or a bust.
In this video, we cover:
1. The "1-Second" Highway ⚡ We explain the secret sauce: a "Rectified Flow Transformer." unlike older models that take a winding road to generate images, Flux 2 builds a direct superhighway, jumping from noise to a perfect image in just four steps.
2. The Quality Test: Absolute Perfection 🎨 We pushed the model with complex prompts, including a weathered fisherman's hand and a rain-soaked Tokyo alley. The results were flawless. It captured details usually impossible for AI—like backlit salt crystals on skin and condensation on a whiskey glass—in under a second.
3. The Mixed Bag: Editing 🖌️ While generation is top-tier, editing is a different story. It handles simple swaps (like changing a t-shirt) easily, but falls apart with complex tasks like changing eye color or adding heavy rain, resulting in that weird "artificial AI look".
4. The Lie: "Consumer Hardware" 🚫 Here is the deal-breaker. The official specs claim it needs 29GB of VRAM (doable on a high-end card). We tested it, and it crashed. In reality, the model demanded a staggering 72GB of VRAM, requiring an industrial H100 server to run. It is nowhere near ready for your home PC.
The Big Takeaway: Flux 2 creates a "breathtaking preview of the future," but right now, that future is only accessible if you own a supercomputer.
https://huggingface.co/black-forest-l...
Support the Channel: Is the speed worth the hardware cost? Let us know in the comments! 👇
#Flux2 #AIArt #GenerativeAI #TechReview #Nvidia #VRAM #StableDiffusion #FutureTech #AIHardware
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