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Flux 2 LoRA: Text-to-Image with Custom LoRA & Precise Control on playground and API | RunComfy

blackforestlabs/flux-2/lora

Generate highly customized images with the Black Forest Labs Flux 2 model by applying up to three LoRA adapters for precise style and character control on RunComfy.

The prompt to generate an image from.
LoRAs 1
URL, HuggingFace repo ID (owner/repo), or local path to LoRA weights.
Scale factor for LoRA application (0.0 to 4.0).
List of LoRA weights to apply (maximum 3). Each LoRA can be a URL, HuggingFace repo ID, or local path.
The format of the generated image.
Guidance Scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
The number of inference steps to perform.
The seed to use for the generation. If not provided, a random seed will be used.

Introduction to Flux 2 LoRA Text-to-Image

Flux 2 LoRA text-to-image combines the advanced architecture of Black Forest Labs' Flux 2 with the modular adaptability of Low-Rank Adaptation (LoRA). This model allows creators and teams to generate high-fidelity images with specific styles, characters, or concepts by layering lightweight LoRA weights onto the base model. For developers, Flux 2 LoRA text-to-image 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 Visuals from Flux 2 LoRA

Flux 2 LoRA on X: Trends and Insights

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Frequently Asked Questions

What makes Flux 2 Lora text-to-image different from the standard Flux 2 Dev model?

While the standard model relies solely on your prompt, Flux 2 Lora introduces modular adaptability. By injecting lightweight LoRA (Low-Rank Adaptation) weights into the pipeline, Flux 2 Lora allows you to generate images with specific character identities, artistic styles, or product designs that the base model doesn't natively recognize.

Can I use images generated with Flux 2 Lora for commercial projects?

Commercial usage of Flux 2 Lora involves two layers of licensing. First, you must comply with the Black Forest Labs license for the base Flux 2 model (typically non-commercial by default unless licensed otherwise). Second, you must adhere to the specific license of the LoRA weights you apply. Using Flux 2 Lora on RunComfy does not automatically grant commercial rights, so please verify both sources.

What are the performance characteristics like latency and concurrency for Flux 2 Lora?

Flux 2 Lora on RunComfy is optimized for high-performance inference. Once a specific LoRA is loaded into our cloud GPU cache, subsequent generations are near-instant, similar to the base model's speed. Our infrastructure auto-scales to handle high concurrency, ensuring that your Flux 2 Lora API requests remain stable even under heavy traffic.

What are the input limitations regarding resolution and LoRA count for Flux 2 Lora?

The Flux 2 Lora interface supports a maximum of 3 simultaneous LoRA adapters to ensure stability. For resolution, we provide optimized presets (like square_hd or landscape_16_9) targeting the 4-megapixel range for best quality. While prompt length is flexible, we recommend explicitly including trigger words associated with your loaded LoRAs to maximize the effect of Flux 2 Lora.

How do developers transition from the Flux 2 Lora playground to a production API?

Transitioning is seamless. Once you have tuned your prompt and LoRA weights in the playground, you can view the "API" tab. This provides the exact JSON payload required to trigger Flux 2 Lora programmatically. You can then use your RunComfy API key to send requests to our v1/runs endpoint, allowing you to integrate Flux 2 Lora directly into your application.