Update README.md to include the `diffusers` usage (#2)

- Update README.md (b0c8ee0c4f28dfadf654e1c84e20313e668a72c5)


Co-authored-by: Sayak Paul <[email protected]>

README.md

@@ -32,6 +32,47 @@ Developers and creatives looking to build on top of `FLUX.1 Depth [dev]` are enc
 ## API Endpoints
 `FLUX.1 Depth [pro]` is available in our API [bfl.ml](https://docs.bfl.ml/)
 
+## Diffusers
+
+To use FLUX.1-Depth-dev-lora with the 🧨 diffusers python library, first install or upgrade `diffusers`, `peft`, and `image_gen_aux`.
+
+```bash
+pip install -U git+https://github.com/huggingface/diffusers
+pip install git+https://github.com/asomoza/image_gen_aux.git
+pip install -U peft
+```
+
+Then you can use the `FluxControlPipeline` to run it:
+
+```py
+import torch
+from diffusers import FluxControlPipeline, FluxTransformer2DModel
+from diffusers.utils import load_image
+from image_gen_aux import DepthPreprocessor
+
+pipe = FluxControlPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda")
+pipe.load_lora_weights("black-forest-labs/FLUX.1-Depth-dev-lora", adapter_name="depth")
+pipe.set_adapters("depth", 0.85)
+
+prompt = "A robot made of exotic candies and chocolates of different kinds. The background is filled with confetti and celebratory gifts."
+control_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png")
+
+processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
+control_image = processor(control_image)[0].convert("RGB")
+
+image = pipe(
+    prompt=prompt,
+    control_image=control_image,
+    height=1024,
+    width=1024,
+    num_inference_steps=30,
+    guidance_scale=10.0,
+    generator=torch.Generator().manual_seed(42),
+).images[0]
+image.save("output.png")
+```
+
+To learn more, check out the [diffusers documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux).
 
 ---