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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# LoRA: InScene
+
+## Model Description
+
+**InScene** is a LoRA for Flux Kontext.Dev that's designed to generate images that maintain scene consistency with a source image. It is trained on the `Flux Kontext Dev` model.
+
+The primary use case is to generate variations of a shot while keeping the background and overall environment ("the scene") the same:
+
+![samples.png](samples.png)
+
+## How to Use
+
+To get the best results, start your prompt with the phrase:
+
+`Make a shot in the same scene of `
+
+For example:
+`Make a shot in the same scene of a woman smiling.`
+
+
+### Strengths & Weaknesses
+
+The model excels at:
+- Generating realistic shots that are consistent with the original scene.
+- Handling most common photographic and artistic styles.
+
+The model may struggle with:
+- Action-oriented prompts (e.g., "punching", "running").
+- Uncommon or highly abstract styles.
+
+## Training Data
+
+The `InScene` LoRA was trained on 394 image pairs. This dataset was created by extracting and enriching frames from the WebVid dataset.
+
+You can find the public dataset used for training here:
+[https://huggingface.co/datasets/peteromallet/InScene-Dataset](https://huggingface.co/datasets/peteromallet/InScene-Dataset)