diff --git a/docs/source/en/api/pipelines/flux.md b/docs/source/en/api/pipelines/flux.md
index f6e524af88db..99dd4bbca1e6 100644
--- a/docs/source/en/api/pipelines/flux.md
+++ b/docs/source/en/api/pipelines/flux.md
@@ -309,6 +309,53 @@ image.save("output.png")
When unloading the Control LoRA weights, call `pipe.unload_lora_weights(reset_to_overwritten_params=True)` to reset the `pipe.transformer` completely back to its original form. The resultant pipeline can then be used with methods like [`DiffusionPipeline.from_pipe`]. More details about this argument are available in [this PR](https://github.com/huggingface/diffusers/pull/10397).
+## IP-Adapter
+
+
+
+Check out [IP-Adapter](../../../using-diffusers/ip_adapter) to learn more about how IP-Adapters work.
+
+
+
+An IP-Adapter lets you prompt Flux with images, in addition to the text prompt. This is especially useful when describing complex concepts that are difficult to articulate through text alone and you have reference images.
+
+```python
+import torch
+from diffusers import FluxPipeline
+from diffusers.utils import load_image
+
+pipe = FluxPipeline.from_pretrained(
+ "black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16
+).to("cuda")
+
+image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/flux_ip_adapter_input.jpg").resize((1024, 1024))
+
+pipe.load_ip_adapter(
+ "XLabs-AI/flux-ip-adapter",
+ weight_name="ip_adapter.safetensors",
+ image_encoder_pretrained_model_name_or_path="openai/clip-vit-large-patch14"
+)
+pipe.set_ip_adapter_scale(1.0)
+
+image = pipe(
+ width=1024,
+ height=1024,
+ prompt="wearing sunglasses",
+ negative_prompt="",
+ true_cfg=4.0,
+ generator=torch.Generator().manual_seed(4444),
+ ip_adapter_image=image,
+).images[0]
+
+image.save('flux_ip_adapter_output.jpg')
+```
+
+
+
+
IP-Adapter examples with prompt "wearing sunglasses"
+