Flux 2

What is Flux 2

FLUX 2 Dev (FLUX.2-dev) is an open-weight, 32-billion-parameter rectified flow Transformer for image generation and editing. It merges a latent-space flow transformer, a long-context VLM for reasoning and prompts, and a multi-reference editing path that supports multiple images in a single checkpoint. It offers frontier quality open weights for production-grade image generation, multi-reference editing for consistency, a long-context VLM with approximately 32K tokens, and is designed for RTX, edge, and cloud deployment with quantized variants.

How to use Flux 2

Using FLUX 2 Dev on Hugging Face:

1. Install necessary libraries (e.g., torch, diffusers).
2. Load the pipeline using Flux2Pipeline.from_pretrained() with a specified repository ID (e.g., "diffusers/FLUX.2-dev-bnb-4bit"), torch_dtype, and move it to the appropriate device (cuda).
3. Define your prompt.
4. Run the pipeline with parameters like num_inference_steps (suggested 16–24 for drafts, 28–40 for production) and guidance_scale (suggested 3–5).
5. Save the generated image.

Deploying FLUX 2 Dev on Cloudflare Workers AI:

1. Use the env.AI.run() API with the model identifier ("@cf/black-forest-labs/flux-2-dev").
2. Pass the prompt as part of the request payload.
3. The output is an image buffer.

Latency Benchmark Snippet:

1. Record the start time using time.perf_counter().
2. Generate an image using the pipeline.
3. Calculate and print the elapsed time.

Features of Flux 2

• Multi-reference editing: Mix up to many reference images to keep characters, branding, and style consistent in one checkpoint.
• High-resolution output: Up to 4MP / 4K-class images with improved text rendering, lighting, hands, and faces.
• Efficient inference: Rectified flow sampling plus guidance distillation reduces steps and guidance scale for faster iterations.
• Long-context VLM: Vision–language encoder with ~32K tokens to follow long prompts, layouts, and hex color instructions.
• Flexible deployment: Runs via Hugging Face, Cloudflare Workers AI, NVIDIA RTX pipelines, and ComfyUI templates.
• Ecosystem ready: Supports Diffusers integration, quantized variants, control hints, and extension APIs for tooling.

Use Cases of Flux 2

• Product marketing: Brand-consistent ad creatives, hero banners, multi-language posters.
• Creative pipelines: Concept art, storyboards, character sheets, animation keyframes with multi-reference consistency.
• Interactive experiences: Edge-hosted filters, avatars, social thumbnails via Workers AI or custom RTX endpoints.

FAQ

1) What is FLUX 2 Dev? FLUX 2 Dev (FLUX.2-dev) is an open-weight rectified flow Transformer (32B params) for image generation and editing, built by Black Forest Labs.

2) How is FLUX 2 different from FLUX.1? FLUX 2 uses a rectified flow Transformer with a long-context VLM, higher resolution (up to ~4MP), stronger text rendering, and multi-reference editing baked into the checkpoint.

3) How many steps should I use? Use 12–20 steps for previews and 28–40 for production. Guidance scale 3–5 is often sufficient.

4) Does FLUX 2 Dev support multi-reference? Yes. You can combine multiple reference images (2–10) for character, style, or brand consistency in a single run.

5) Can I run FLUX 2 Dev on a single GPU? With 4-bit/FP8 pipelines and weight streaming, FLUX 2 Dev can run on high-end RTX cards (e.g., 4090) within ~14–18 GB VRAM.

6) How to deploy FLUX 2 Dev at the edge? Use Cloudflare Workers AI model @cf/black-forest-labs/flux-2-dev and the env.AI.run() API for global, low-latency responses.

7) What resolutions does FLUX 2 Dev support? FLUX 2 Dev decodes up to ~4MP (4K-class). Start at 1024×1024 or 1536×1024 and upscale if needed.

8) How good is FLUX 2 Dev at text rendering? It significantly improves text fidelity over FLUX.1 and many diffusion peers, making it strong for UI mockups and posters.

9) What are best practices for prompting FLUX 2 Dev? Use natural, long prompts; include layout hints and hex colors. Keep guidance moderate (3–5) and set seeds for reproducibility.

10) Where can I find FLUX 2 Dev resources? Search for the official FLUX 2 blog, Hugging Face model card “black-forest-labs/FLUX.2-dev”, Diffusers docs for Flux2Pipeline, and Cloudflare Workers AI model docs.