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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FLUX.1 [schnell]
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Estimateur VRAM GPU & Quantification

Calculateur de VRAM GPU & Matériel — FLUX.1 [schnell]

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

Compatibilité GPU & Apple Silicon

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

Comparatif FLUX.1 Pro vs Dev vs Schnell

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

À propos de cet outil

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).
Nom de l'outil FLUX.1 [schnell]
Catégorie AI Image Generator
Modèle tarifaire Free Open Source (Apache 2.0)
Tag thématique FLUX.1 Schnell, Apache 2.0 AI, Fast Image Generation
#FLUX.1 Schnell, Apache 2.0 AI, Fast Image Generation

Analyse du trafic

Signaux de trafic, de classement et d’engagement pour cet outil.

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Aperçu de l’interface

FLUX.1 [schnell]

Questions fréquentes

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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