Create README.md

README.md

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+# ⚡ Flux.1-dev: Depth ControlNet ⚡
+
+A controlNet for depth map developped by Jasper research team.
+
+
+
+# How to use
+This model can be used directly with the `diffusers` library
+
+```python
+import torch
+from diffusers.utils import load_image
+from diffusers import FluxControlNetModel
+from diffusers.pipelines import FluxControlNetPipeline
+
+# Load pipeline
+controlnet = FluxControlNetModel.from_pretrained(
+  "jasperai/Flux.1-dev-Controlnet-Depth",
+  torch_dtype=torch.bfloat16
+)
+pipe = FluxControlNetPipeline.from_pretrained(
+  "black-forest-labs/FLUX.1-dev",
+  controlnet=controlnet,
+  torch_dtype=torch.bfloat16
+)
+
+# Load a control image
+control_image = load_image("https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Canny/resolve/main/canny.jpg")
+
+image = pipe(
+    prompt, 
+    control_image=control_image,
+    controlnet_conditioning_scale=0.6,
+    num_inference_steps=28, 
+    guidance_scale=3.5,
+).images[0]
+image.save("image.jpg")
+```
+
+<p align="center">
+   <img style="width:700px;" src="assets/flash_pixart.jpg">
+</p>
+
+# Licence
+The licence under the Flux.1-dev model applies to this model.