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README.md

@@ -1 +1,47 @@
-Use "place" trigger word
+---
+license: other
+library_name: diffusers
+tags:
+- lora
+- flux
+- kontext
+- object-placement
+base_model: black-forest-labs/FLUX.1-Kontext-dev
+---
+
+# FLUX Kontext Object Placement LoRA
+
+This is a LoRA (Low-Rank Adaptation) model trained on FLUX.1-Kontext for object placement tasks.
+
+## Usage
+
+```python
+from diffusers import FluxPipeline
+import torch
+
+# Load the base model
+pipe = FluxPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-Kontext-dev",
+    torch_dtype=torch.bfloat16
+)
+
+# Load the LoRA
+pipe.load_lora_weights("fediry/flux-kontext-object-placement-lora")
+
+# Generate images with object placement
+prompt = "place it --ctrl_img path/to/your/control/image.jpg"
+image = pipe(prompt).images[0]
+```
+
+## Training Details
+
+- **Base Model**: black-forest-labs/FLUX.1-Kontext-dev
+- **Training Steps**: 3000
+- **Batch Size**: 1
+- **Learning Rate**: 1e-4
+- **Architecture**: LoRA with rank 128
+- **Trigger Word**: "place"
+
+## Model Description
+
+This LoRA was trained to help with object placement tasks using the FLUX Kontext architecture. It can be used to place objects in images by providing a control image and using the trigger word "place".