Flux 2
Why Choose Flux 2?
Choose this if you need a cutting-edge AI model that handles complex image generation and editing with multi-reference support to keep style and character consistent. It’s ideal for professionals wanting high-res, production-grade visuals with advanced prompt processing and flexible deployment.
Open-weight rectified flow Transformer for image generation and editing.
Flux 2 Introduction
What is Flux 2?
FLUX 2 Dev (FLUX.2-dev) is a frontier-level, open-weight rectified flow Transformer for image generation and editing, developed by Black Forest Labs. It integrates a 32B rectified flow core, a long-context vision–language model (VLM), and multi-reference editing capabilities to produce production-grade visuals. It is designed for various applications including high-fidelity animal renders, ad creatives, hero banners, 3D concept art, product renders, interactive filters, and avatars.
How to use Flux 2?
FLUX 2 Dev can be utilized through several platforms: Hugging Face Diffusers (Python), Cloudflare Workers AI, and ComfyUI. For Hugging Face, users can import `Flux2Pipeline` to perform text-to-image generation, specifying prompts, inference steps (12-20 for drafts, 28-40 for production), and guidance scale (3-5). For Cloudflare Workers AI, deployment involves using the `env.AI.run` API with the `@cf/black-forest-labs/flux-2-dev` model for edge inference. ComfyUI integration requires updating the software, downloading `.safetensors` checkpoints, and loading pre-made templates, which can be extended with control nodes or LoRA adapters.
Why Choose Flux 2?
Choose this if you need a cutting-edge AI model that handles complex image generation and editing with multi-reference support to keep style and character consistent. It’s ideal for professionals wanting high-res, production-grade visuals with advanced prompt processing and flexible deployment.
Flux 2 Features
AI Avatar Generator
- ✓Multi-reference editing to maintain character, style, and branding consistency across images.
- ✓High-resolution output, generating up to 4MP / 4K-class images with improved text rendering, lighting, hands, and faces.
- ✓Efficient inference achieved through rectified flow sampling and guidance distillation, reducing steps and guidance scale for faster iterations.
- ✓Long-context Vision–Language Model (VLM) with approximately 32K tokens to process detailed prompts, layouts, and hex color instructions.
- ✓Flexible deployment options supporting Hugging Face Diffusers, Cloudflare Workers AI, NVIDIA RTX FP8/FP4 pipelines, and ComfyUI templates.
- ✓Ecosystem readiness with Diffusers integration, quantized variants, control hints, and extension APIs.
FAQ?
Pricing
Pricing information not available