AI Image Generator

FLUX.1

Black Forest Labs' 12B rectified-flow text-to-image model suite (Pro, Dev, and Apache 2.0 Schnell) setting benchmarks in photorealism and typography.

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FLUX.1
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Calculadora de VRAM GPU e Quantização

Estimador de VRAM e Placa de Vídeo para FLUX.1

Calcule a VRAM necessária em BF16, FP8, NF4 e GGUF Q4_K_M e verifique a compatibilidade com GPUs RTX e Mac Apple Silicon.

Quantization Precision
Context / Image Resolution
Estimated Required VRAM
17.4 GB FLUX.1 Non-Commercial (Commercial via API)
Model Weights: 15.2 GB KV / Activation Overhead: 2.2 GB

Compatibilidade de Hardware

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

Comparativo 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

Sobre esta ferramenta

FLUX.1 by Black Forest Labs is a 12-billion-parameter hybrid multimodal diffusion transformer / rectified-flow image generation suite renowned for accurate human anatomy, realistic lighting, complex scene composition, and legible in-image text.

Choosing Between FLUX.1 Pro, Dev & Schnell

  • FLUX 1.1 [pro] / [pro]: Proprietary cloud API (~$0.04–$0.06/image) with 4MP Ultra & Raw modes and full commercial rights—zero local GPU required.
  • FLUX.1 [dev] (12B): Open weights for ComfyUI, Forge, ControlNet, and custom LoRA training (non-commercial local license; commercial via authorized APIs).
  • FLUX.1 [schnell] (12B): Apache 2.0 open-source 1–4 step distilled model delivering ~1.5-second local generation with free commercial rights.
  • Interactive GPU VRAM Estimator: Use the calculator above to check BF16, FP8, NF4, and GGUF Q4_K_M memory requirements on RTX 3060/4070/4090 and Apple Silicon Macs.
Nome da ferramenta FLUX.1
Categoria AI Image Generator
Modelo de preços Open Weights / Cloud API
Tag de tópico FLUX.1, Black Forest Labs, Text to Image, ComfyUI, Open Weights
#FLUX.1, Black Forest Labs, Text to Image, ComfyUI, Open Weights

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FLUX.1

Perguntas frequentes

What is the difference between FLUX.1 [pro], [dev], and [schnell]?

FLUX 1.1 [pro] / [pro] is Black Forest Labs' flagship commercial cloud API ($0.04–$0.06/image) with top prompt adherence and 4MP Ultra mode. FLUX.1 [dev] provides 12B open weights for local ComfyUI/LoRA workflows under a non-commercial license, while FLUX.1 [schnell] is timestep-distilled (1–4 steps) under Apache 2.0 for free commercial and self-hosted use.

How much GPU VRAM do I need to run FLUX.1 locally in ComfyUI or Forge?

Full 16-bit BF16 weights with T5-XXL require ~31 GB VRAM, but FP8 quantization lowers usage to ~17.4 GB (ideal for RTX 4090 24GB or Mac 32GB). Using NF4 or GGUF Q4_K_M quantization drops VRAM to ~11–12 GB, allowing smooth 1024x1024 generation on RTX 3060 12GB and RTX 4070 16GB cards.

Can I use FLUX.1 images for commercial projects?

Yes, if you generate with FLUX.1 [schnell] (Apache 2.0 license) or through official FLUX [pro] / licensed partner APIs (BFL API, fal.ai, Replicate). Images generated with self-hosted FLUX.1 [dev] weights default to non-commercial research/personal use unless covered by a BFL commercial license.

How does FLUX.1 compare to Midjourney v6, Recraft V3, and Ideogram V2?

FLUX.1 leads open-weight models in hand anatomy, photorealistic lighting, and local LoRA customization. Recraft V3 excels at editable vector SVG graphics, Ideogram V2 specializes in poster typography, and Midjourney v6 offers curated artistic aesthetics without local hardware setup.

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