Edit images precisely and fast with FLUX Kontext Pro.
Flux 2 LoRA Edit: Precision Image-to-Image Editing AI on playground and API | RunComfy
Transform and edit your images using the Black Forest Labs Flux 2 LoRA model to apply custom styles, characters, or details via LoRA adapters on RunComfy.
Introduction to Flux 2 LoRA Edit
Flux 2 LoRA edit allows creators to transform, restyle, and edit existing images by combining the precision of Black Forest Labs' architecture with custom LoRA adapters. This specialized Flux 2 LoRA workflow is perfect for teams needing to maintain consistent character details or apply specific artistic styles to uploaded visuals. For developers, Flux 2 LoRA edit on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.
Examples of Flux 2 LoRA Creations






Flux 2 LoRA on X: Insights and Releases
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Frequently Asked Questions
What are the primary capabilities of Flux 2 Lora image-to-image?
Flux 2 Lora image-to-image is designed to modify existing visuals rather than generating them from scratch. It leverages the Flux 2 architecture to restyle photographs, maintain character consistency across different poses, or apply artistic effects using specific adapters. Unlike the standard text-to-image mode, this Flux 2 Lora playground accepts source images to guide the composition.
Can I use Flux 2 Lora on RunComfy for commercial purposes?
Commercial usage of Flux 2 Lora depends on two factors: the license of the base model (Flux 2 Dev is generally Non-Commercial without a separate agreement) and the license of the specific LoRA adapters you choose to load. You must ensure your project complies with Black Forest Labs' terms and the individual creator's rights for any LoRA files used in your Flux 2 Lora workflow.
What are the input limits for images and LoRAs?
The Flux 2 Lora image-to-image endpoint allows you to upload up to 3 source images via the image_urls parameter. Similarly, you can stack up to 3 distinct LoRA adapters simultaneously using the loras list. This multi-input capability makes Flux 2 Lora highly flexible for complex editing tasks involving style mixing and character insertion.
How does RunComfy handle performance and latency for Flux 2 Lora?
RunComfy utilizes high-performance cloud GPUs and an intelligent caching system. Once a specific adapter is loaded for a Flux 2 Lora task, subsequent requests using that same LoRA are processed significantly faster. This ensures low latency for interactive applications, even when handling the heavy computational load of the Flux 2 Lora architecture.
How do I transition from the Playground to the API?
Moving to production is seamless. After testing your prompts and LoRA weights in the Flux 2 Lora playground, simply click the "API" tab. RunComfy provides the exact
