FLUX.2 [klein]Translation site

What is FLUX.2 [klein]?

FLUX.2 [klein] is Black Forest Labs' lightweight, purpose-built solution for edge devices and real-time scenarios.Image GenerationModeling. It drastically compresses parameter sizes through model distillation, runs smoothly on a consumer-grade GPU with only 13GB of graphics memory, delivers sub-second inference speeds, and supports 4MP high-resolution output to ensure clear image details and natural colors.

The model is fully functional, not only supporting text to generate images, but also realizing editing operations such as local redrawing, background replacement, style migration, etc., and it can handle up to 10 reference drawings at the same time, maintaining a high degree of consistency of characters, products and other elements. In addition, it specializes in complex text rendering, and the fine print in infographics, UI design, and other scenarios can be clearly rendered.

Whether it's real-time conceptual design for game development, rapid content generation for advertising and marketing, or visual iteration for product design, FLUX.2 [klein] meets the demand with efficient and flexible performance, ideal for creators seeking a balance between speed and quality.

FLUX.2 [klein] main functions

1. Sub-second image generation
   • tempo: end-to-end reasoning times as low as Within 1 secondIt is faster than comparable models by more than 30% and supports real-time previews and interactive workflows.
   • mass (in physics): generates images with resolutions up to 4MP (4 megapixels)The details are crisp and clear, the light is stable and close to photographic grade realism.
2. All-in-one generation and editing
   • Text-to-Image (TTI): Support for complex cue words and understanding of structured instructions (e.g., multi-part cues, combinatorial constraints).
   • Image Editing: Includes local repainting, background replacement, style migration, object replacement and removal, etc., and supports single reference or multi-reference input.
3. Multi-graph reference consistency control
   • Simultaneous processing Up to 10 reference drawingsThe company is highly consistent in terms of character, product, and style (37% increase in accuracy), and is suitable for brand advertisements, series of posters, and other scenarios.
4. Complex Text Rendering
   • Supports text generation for infographics, UI design, emoticons and other scenarios, with clear and readable fine print, and a character recognition rate of up to 99.2%.
5. Lightweight deployment
   • pass (a bill or inspection etc) 4-step distillation Optimized inference efficiency with a low video memory footprint of 8.4GB (4B model)It is suitable for resource-constrained environments such as mobile devices and embedded systems.

FLUX.2 Scenarios for the use of [klein].

1. real time interactive application
   • game development: Rapidly generate character and scene concept maps, support dynamic modification and iteration.
   • Virtual Dress / Makeup Fitting: Different clothing or makeup effects are generated in real time after the user uploads a photo.
2. Advertising & Marketing
   • brand advertising: Generate a series of posters with a uniform style based on multi-reference diagrams to maintain a consistent character and product appearance.
   • Social Media Content: Quickly generate eye-catching visual material with support for personalization.
3. Product Design and Visualization
   • industrial design: Generate product prototype drawings, supporting fine adjustment of materials, colors, and lighting.
   • interior design: Render different styles of home scenes in real time according to user needs.
4. Film and animation production
   • Scene Script Generation: Convert text descriptions into high-quality split-screen drawings to speed up the pre-production process.
   • Character Design: Generate compliant character images by fusion of multiple reference graphs.

FLUX.2 [klein] project address

• Project website:: https://bfl.ai/blog/flux2-klein-towards-interactive-visual-intelligence
• HuggingFace Model Library::
  • https://huggingface.co/spaces/black-forest-labs/FLUX.2-klein-9B
  • https://huggingface.co/spaces/black-forest-labs/FLUX.2-klein-4B

How to use FLUX.2 [klein]?

1. Model Selection
   • 4B Model: Suitable for lightweight applications, supports text to generate images with basic editing, and takes up 8.4GB (Refined) or 9.2GB (Basic) of video memory.
   • 9B Model: Suitable for scenarios with higher quality requirements, with a graphics memory footprint of 19.6GB (Refined) or 21.7GB (Benchmark).
2. Deployment Method
   • consumer-grade hardware: Runs on NVIDIA GeForce RTX series GPUs, optimized with fp8 inference (requires cooperation with NVIDIA and ComfyUI).
   • cloud service: APIs are invoked through third-party cloud platforms (e.g. Hugging Face, AWS), eliminating the need for local deployment.
3. workflow
   • Text to Image: Enter the prompt word (structured JSON format is supported), select the model type and parameters (e.g., number of steps, bootstrap coefficients), and click Generate.
   • image editingUpload the reference image and the image to be edited, enter the modification command (e.g. “Replace background with beach”), adjust the editing intensity and run.
4. Optimization Tips
   • Cue word design: Use clear, specific descriptions (e.g. “16:9 ratio, cyberpunk style, neon effect”) and avoid vague statements.
   • Multi-Reference Map Fusion: For consistency, it is recommended to upload 6-10 reference images, covering different angles and stylistic elements.