AI Image Generator

FLUX.1 [schnell]

Apache 2.0 open-source 12B text-to-image model generating crisp 1024x1024 visuals in just 1 to 4 steps with full commercial rights.

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GPU VRAM اور کوانٹائزیشن کیلکولیٹر

FLUX.1 [schnell] GPU VRAM اور ہارڈویئر مطابقت کیلکولیٹر

Calculate required VRAM (model weights + activation/KV cache) across BF16, FP8, INT4, and GGUF Q4_K_M.

Quantization Precision
Context / Image Resolution
Estimated Required VRAM
17.2 GB Apache 2.0 Free Commercial
Model Weights: 15.2 GB KV / Activation Overhead: 2.0 GB

Instant Hardware Compatibility

RTX 3060 12GB Insufficient VRAM
RTX 4070/4080 16GB CPU Offload / Tight
RTX 4090 24GB Smooth Fit
Mac Apple Silicon 16GB/32GB/64GB Needs 32GB+ Unified
Cloud GPU / API Cloud / API Ready

FLUX.1 Pro vs Dev vs Schnell Comparison

Model Variant License Speed / Steps Local vs API Commercial Use
FLUX 1.1 [pro] / [pro] Proprietary Cloud API ~4s Ultra-Fast (Up to 4MP Ultra) Cloud API Only ($0.04–$0.06/img · 0 GB Local) Yes — Full Commercial Rights
FLUX.1 [dev] (12B) FLUX.1 Non-Commercial Weights 20–50 Guidance Steps (Best LoRA Fidelity) Local GPU (12–24 GB in NF4/FP8) + Cloud API Non-Commercial Local (Commercial via Official API)
FLUX.1 [schnell] (12B) Apache 2.0 Open Source 1–4 Timestep Distilled (~1.5s Local) Local GPU (12 GB+ in NF4/GGUF/FP8) + API Yes — Free Commercial & Self-Hosted Use

اس ٹول کے بارے میں

FLUX.1 [schnell] is Black Forest Labs' timestep-distilled 12B open-source image generator released under the permissive Apache 2.0 license, allowing unrestricted commercial self-hosting and product integration.

Why Teams Pick FLUX.1 [schnell]

  • 1–4 Step Sub-2-Second Inference: Generates sharp 1024×1024 compositions in 4 steps without classifier-free guidance overhead—5x to 8x faster than 25-step models.
  • Runs on Consumer GPUs & Macs: Quantizes cleanly to FP8, NF4, and GGUF Q4_K_M for 12 GB NVIDIA GPUs and 16 GB–32 GB Apple Silicon Macs (via Draw Things, MFLUX, or ComfyUI).
ٹول کا نام FLUX.1 [schnell]
زمرہ AI Image Generator
قیمت کا ماڈل Free Open Source (Apache 2.0)
موضوع ٹیگ FLUX.1 Schnell, Apache 2.0 AI, Fast Image Generation

ٹریفک کا تجزیہ

اس ٹول کے ٹریفک، رینکنگ اور انگیجمنٹ کے اشارے۔

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اکثر پوچھے گئے سوالات

Is FLUX.1 [schnell] completely free for commercial and enterprise use?

Yes. Black Forest Labs released FLUX.1 [schnell] weights under the permissive Apache 2.0 license, meaning both the model weights and generated images can be used freely in commercial products, SaaS apps, and self-hosted pipelines.

How many steps does FLUX.1 [schnell] need for sharp 1024x1024 images?

Only 4 steps (and even 1–2 steps for rapid prototyping) with Euler sampler and CFG 1.0. Because it is latent adversarial timestep-distilled, generation finishes ~5–7x faster than 25-step FLUX.1 [dev].

Can an RTX 3060 12GB or 16GB MacBook Pro run FLUX.1 [schnell] locally?

Yes! With NF4 or GGUF Q4_K_M quantization (~11 GB total VRAM), an RTX 3060 12GB generates a 4-step 1024x1024 image in seconds. On Apple Silicon Macs (M2/M3/M4 16GB–32GB), Draw Things and mflux run quantized [schnell] smoothly.

When should I choose FLUX.1 [schnell] vs FLUX.1 [dev]?

Choose FLUX.1 [schnell] whenever you need Apache 2.0 commercial self-hosting, interactive real-time generation, or minimal compute cost per image. Choose [dev] when training custom LoRAs or pushing maximum multi-step texture intricacy.

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