Brightness conditioning
According to the model card, a grayscale input controls brightness distribution and lighting structure for FLUX generation.
Open Source Model Profile · Oysiyl
Controlnet-lora-brightness-flux is a brightness Control LoRA for black-forest-labs/FLUX.1-dev from Oysiyl. According to the model card, it uses grayscale conditioning at 1024x1024 through the Diffusers FluxControlPipeline.
Controlnet-lora-brightness-flux is published by Oysiyl as a text-to-image LoRA with Apache-2.0 licensing. Hub tags identify diffusers, flux, lora, control, and brightness, with black-forest-labs/FLUX.1-dev as the base model. According to the model card, it was trained on 10,000 samples at 1024x1024 to control brightness distribution while keeping text-prompt freedom.
According to the model card, a grayscale input controls brightness distribution and lighting structure for FLUX generation.
The publisher describes use with black-forest-labs/FLUX.1-dev through FluxControlPipeline, with adapter weights controlling strength.
According to the model card, intermediate checkpoints at 25%, 50%, and 75% plus the final 10,000-sample model are included.
Source: Oysiyl/controlnet-lora-brightness-flux
Captured: Unknown. Processed: 2026-09-07T19:35:50.843582+00:00.
FLUX ControlNet LoRA - Brightness Control (10k @ 1024×1024) A Control LoRA model trained on FLUX.1-dev to control image generation through brightness/grayscale information. This model uses LoRA (Low-Rank Adaptation) combined with ControlNet architecture for efficient control, providing an ultra-lightweight control mechanism for FLUX's powerful 12B parameter model. Model Description This Control LoRA enables brightness-based conditioning for FLUX image generation. By providing a grayscale image as input, you can control the brightness distribution and lighting structure while maintaining creative freedom through text prompts. Key Fea…
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