Update README.md

README.md

@@ -36,9 +36,10 @@ Also, some generation results with input images are provided in "Files and versi
 
 # Inference
 
-To try our models, you have 2 options:
+To try our models, you have 3 options:
 1. Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
 2. Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows)
+3. Diffusers 🧨
 
 ## Instruction for ComfyUI 
 1. Go to ComfyUI/custom_nodes
@@ -50,6 +51,50 @@ To try our models, you have 2 options:
 7. Use `Flux Load IPAdapter` and `Apply Flux IPAdapter` nodes, choose right CLIP model and enjoy your genereations.
 8. You can find example workflow in folder workflows in this repo.
 
+## Diffusers 🧨
+1. Install Diffusers 🧨 `pip install -U diffusers`
+2. Run the example
+```python
+import torch
+from diffusers import FluxPipeline
+from diffusers.utils import load_image
+
+pipe: FluxPipeline = FluxPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-dev",
+    torch_dtype=torch.bfloat16,
+).to("cuda")
+
+image = load_image("monalisa.jpg").resize((1024, 1024))
+
+pipe.load_ip_adapter(
+    "XLabs-AI/flux-ip-adapter-v2",
+    weight_name="ip_adapter.safetensors",
+    image_encoder_pretrained_model_name_or_path="openai/clip-vit-large-patch14"
+)
+
+def LinearStrengthModel(start, finish, size):
+    return [
+        (start + (finish - start) * (i / (size - 1))) for i in range(size)
+    ]
+
+ip_strengths = LinearStrengthModel(0.4, 1.0, 19)
+pipe.set_ip_adapter_scale(ip_strengths)
+
+image = pipe(
+    width=1024,
+    height=1024,
+    prompt='wearing red sunglasses, golden chain and a green cap',
+    negative_prompt="",
+    true_cfg_scale=1.0,
+    generator=torch.Generator().manual_seed(0),
+    ip_adapter_image=image,
+).images[0]
+
+image.save('result.jpg')
+```
+
+
+
 If you get bad results, try to set to play with ip strength
 ### Limitations
 The IP Adapter is currently in beta.