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--- |
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license: other |
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license_name: flux-non-commercial-license |
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license_link: >- |
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https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B/blob/main/LICENSE.md |
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language: |
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- en |
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base_model: |
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- black-forest-labs/FLUX.2-klein-base-9B |
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pipeline_tag: image-to-image |
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library_name: diffusers |
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tags: |
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- art |
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- lora |
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- Cinematic |
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- FlatLog |
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--- |
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 |
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# **Flux2-Klein-Cinematic-FlatLog-Control** |
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> **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. |
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## **Quick Start with Diffusers** |
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> Compatible with versions **2509** and **2511**. |
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```bash |
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pip install -U diffusers transformers accelerate |
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``` |
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```python |
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import torch |
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from diffusers import Flux2KleinPipeline |
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from diffusers.utils import load_image |
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# Switch to "mps" for Apple devices |
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pipe = Flux2KleinPipeline.from_pretrained( |
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"black-forest-labs/FLUX.2-klein-base-9B", |
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torch_dtype=torch.bfloat16, |
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device_map="cuda" |
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) |
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pipe.load_lora_weights("prithivMLmods/Flux2-Klein-Cinematic-FlatLog-Control") |
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prompt = "Transform into a cinematic flat log" |
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input_image = load_image( |
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"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png" |
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) |
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image = pipe(image=input_image, prompt=prompt).images[0] |
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``` |
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**Trained on [ModelScope.cn](https://modelscope.cn)** |
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## **Trigger Prompt** |
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Use the following prompt to activate the cinematic flat log behavior: |
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``` |
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Transform into a cinematic flat log |
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``` |
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## **Download Model** |
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You can download the model files from the **Files & versions** tab: |
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[Download](https://huggingface.co/prithivMLmods/Flux2-Klein-Cinematic-FlatLog-Control/tree/main) |
