--- license: other license_name: flux-non-commercial-license license_link: >- https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B/blob/main/LICENSE.md language: - en base_model: - black-forest-labs/FLUX.2-klein-base-9B pipeline_tag: image-to-image library_name: diffusers tags: - art - lora - Cinematic - FlatLog --- ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/hE8qLUSPApH6l9997livw.png) # **Flux2-Klein-Cinematic-FlatLog-Control** > **Flux2-Klein-Cinematic-FlatLog-Control** is an adapter LoRA developed for **FLUX.2-klein-base-9B**, designed to transform images into a cinematic flat log look. The model reduces contrast and saturation to achieve a neutral, log-style tonal response while preserving the original identity, composition, textures, and geometry. It enables consistent cinematic grading workflows with smooth highlight roll-off, controlled shadows, and artifact-free results. ## **Quick Start with Diffusers** > Compatible with versions **2509** and **2511**. ```bash pip install -U diffusers transformers accelerate ``` ```python import torch from diffusers import Flux2KleinPipeline from diffusers.utils import load_image # Switch to "mps" for Apple devices pipe = Flux2KleinPipeline.from_pretrained( "black-forest-labs/FLUX.2-klein-base-9B", torch_dtype=torch.bfloat16, device_map="cuda" ) pipe.load_lora_weights("prithivMLmods/Flux2-Klein-Cinematic-FlatLog-Control") prompt = "Transform into a cinematic flat log" input_image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png" ) image = pipe(image=input_image, prompt=prompt).images[0] ``` **Trained on [ModelScope.cn](https://modelscope.cn)** ## **Trigger Prompt** Use the following prompt to activate the cinematic flat log behavior: ``` Transform into a cinematic flat log ``` ## **Download Model** You can download the model files from the **Files & versions** tab: [Download](https://huggingface.co/prithivMLmods/Flux2-Klein-Cinematic-FlatLog-Control/tree/main)