Flux Dev Lora
Neural Network
Flux Dev Lora is a Black Forest Labs model for text-to-image generation with support for fine-tuned LoRA adapters.
Specifications
- Input
- text, images
- Output
- images
- Resolution
- 1 MP, 0.25 MP
- Aspect ratio
- 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21
- Outputs per request
- up to 4
- File formats
- WEBP, JPG, PNG
How it works Flux Dev Lora?
Flux Dev Lora is a variant of the flux-dev model by Black Forest Labs that creates images from text descriptions and works quickly with fine-tuned LoRA adapters. This allows connecting a pre-trained style or object to the base model, resulting in output closer to your visual language than standard text-to-image generation. In BotHub, the model is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles, charged per token used, with no subscription. Over 250 other models are available in the same window for easy switching and comparison. For product tasks, there is a unified OpenAI-compatible API and AES-GCM encryption. Flux Dev Lora helps designers create concepts and mood boards, marketers prepare visuals for ads and social media in a recognizable brand style, product teams showcase packaging and promo page designs, illustrators maintain consistent character and location looks, and developers stream image generation via API.Frequently asked questions about Flux Dev Lora
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
flux-dev-lora generates images from text descriptions and processes existing images in image-to-image mode. It is suitable for illustrations, concepts, banners, avatars, and reference-based stylization, while LoRA support helps maintain a consistent style across a series of frames.
You get a raster image as output. Specific resolution is not specified in our data, so refer to the request parameters in the interface. Up to 4095 context tokens are allocated for the prompt, which is enough for a detailed description of the scene, lighting, and composition.
There is no separate reasoning before answering in our data: it is a generative image model that provides results immediately. If step-by-step logic is needed, create a chain: a text model can refine the prompt, and flux-dev-lora will render the frame.
Function calling and structured JSON output are not noted for this model in our data. However, you can access it via the unified BotHub OpenAI-compatible API, so integrating generation into your pipeline and orchestrating it with a text model is quite feasible.
Images, yes: image-to-image mode accepts an image as a base or reference for stylization and refinement. Audio and video input are not supported. You can upload files on the website and in the Telegram bot, without a VPN or foreign card.
We have no confirmed data regarding prompt language, so we cannot guarantee accuracy in Russian. The BotHub interface and support are in Russian, payment is via Russian cards in rubles, and it is easier to find a successful prompt formulation through trial and error: compare a couple of options.