Introducing WaveSpeedAI FLUX 2 Dev Edit LoRA on WaveSpeedAI

Introducing FLUX.2 [dev] Edit with LoRA Support on WaveSpeedAI

The next evolution in AI-powered image editing has arrived. We’re excited to announce that FLUX.2 [dev] Edit with LoRA is now available on WaveSpeedAI, bringing together the power of natural language editing with the personalization capabilities of custom LoRA adapters—all through a simple, production-ready API.

Whether you’re managing brand assets across campaigns, refreshing product catalogs, or maintaining character consistency across visual content, this model delivers precise, structure-preserving edits that scale effortlessly with your workflow.

What is FLUX.2 [dev] Edit with LoRA?

Built on Black Forest Labs’ groundbreaking FLUX.2 architecture—a 32 billion parameter rectified flow transformer—this model extends the capabilities of the standard FLUX.2 [dev] Edit with full LoRA adapter support. The result is an editing powerhouse that combines the flexibility of natural language instructions with the consistency and brand control that only custom-trained adapters can provide.

At its core, the model treats your input image as an anchor. Faces, poses, compositions, and layouts remain intact while textures, colors, styles, and surface details transform according to your prompts and LoRA configurations. This structure-preserving approach makes it ideal for high-volume asset updates where visual continuity is essential.

Key Features

Multi-LoRA Stacking: Attach up to four LoRA adapters simultaneously, each with adjustable strength (0–4). Combine character LoRAs, style LoRAs, lighting LoRAs, and brand palette LoRAs in a single pass for precisely tailored results.
Natural Language Editing: Describe what you want changed in plain English. The model understands context and applies modifications while preserving the elements you want to keep.
Hex Color Control: Specify exact colors using hex codes directly in your prompts. Perfect for brand work and marketing materials requiring precise color matching.
Batch Generation: Generate 1–4 edited variants per request using the same LoRA stack and prompt configuration—ideal for A/B testing, platform-specific variants, or bulk catalog updates.
Structure Preservation: The model anchors to your input image’s composition, maintaining facial identity, poses, and spatial relationships while updating visual attributes.
Open Architecture: Built on the open FLUX.2 dev stack, integrating seamlessly with your existing LoRA training, storage, and deployment infrastructure.

Real-World Use Cases

E-commerce Catalog Management

Transform a single product photo into multiple colorways without expensive photoshoots. The model preserves authentic lighting, shadows, and material textures while applying color variations—turning one hero shot into an entire product line visualization.

Brand Asset Refreshes

When campaigns evolve, assets need to follow. Apply seasonal updates, promotional overlays, or brand guideline changes across entire image libraries without regenerating from scratch. Custom LoRAs ensure every edit stays on-brand.

Character Consistency Across Content

For creators working with recurring characters—whether for animation, gaming, or marketing—LoRA adapters maintain character identity across different scenes, poses, and contexts. Train once, apply everywhere.

Marketing Material Adaptation

Update promotional posters and advertisements for different campaigns, translate text for international markets, or refresh branded elements—all while maintaining design integrity. The hex color support ensures brand colors remain pixel-perfect.

Product Photography Enhancement

Add lifestyle contexts to product shots, swap backgrounds for seasonal themes, or apply style treatments that match specific platform aesthetics. The model handles complex product photography edits while preserving critical product details.

Design Iteration Workflows

Rapidly test visual concepts by applying different style LoRAs to the same base image. Compare vintage versus modern treatments, explore color palettes, or experiment with artistic directions—all at inference speed rather than manual design time.

Getting Started with WaveSpeedAI

Getting started is straightforward. WaveSpeedAI provides a ready-to-use REST inference API with no cold starts and consistent performance, so you can integrate FLUX.2 [dev] Edit with LoRA directly into your production workflows.

Access the Model: Navigate to FLUX.2 [dev] Edit with LoRA on WaveSpeedAI.
Upload Your Image: Provide the source image you want to edit.
Configure Your LoRAs: Select up to four LoRA adapters to apply. If you don’t have custom LoRAs yet, explore our LoRA training guide to create your own without writing code.
Write Your Prompt: Describe the changes you want in natural language. Include hex codes for precise color matching where needed.
Generate: The API returns your edited image, with the option to generate multiple variants per request.

Pricing is simple and transparent at $0.03 per edited image—making it cost-effective for both experimentation and production-scale deployments.

Why WaveSpeedAI?

Running AI models shouldn’t mean managing infrastructure headaches. WaveSpeedAI delivers:

Zero Cold Starts: Your requests execute immediately, every time. No waiting for model initialization.
Consistent Performance: Enterprise-grade infrastructure ensures reliable inference speeds at any scale.
Affordable Pricing: Pay only for what you use, with transparent per-image billing that makes cost planning straightforward.
Production-Ready APIs: RESTful endpoints integrate seamlessly with any tech stack, from web applications to automated pipelines.

Explore the FLUX.2 Family

FLUX.2 [dev] Edit with LoRA is part of a comprehensive suite of FLUX.2 models on WaveSpeedAI:

FLUX.2 [dev] Text-to-Image: The fastest, most lightweight generation for text-to-image workflows.
FLUX.2 [dev] Text-to-Image with LoRA: Personalized generation with up to 4 LoRAs per prompt.
FLUX.2 [dev] Edit: Prompt-based editing without LoRA customization.

Start Creating Today

The combination of FLUX.2’s state-of-the-art editing architecture with LoRA personalization opens new possibilities for visual content creation at scale. Whether you’re updating hundreds of product images, maintaining character consistency across campaigns, or building custom visual workflows, FLUX.2 [dev] Edit with LoRA delivers the precision and flexibility your projects demand.

Ready to transform your image editing workflow? Try FLUX.2 [dev] Edit with LoRA on WaveSpeedAI and experience the next generation of AI-powered visual editing.