Create README.md

README.md

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+---
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+tags:
+- Text-to-Image
+- ControlNet
+- Diffusers
+- Stable Diffusion
+base_model: black-forest-labs/FLUX.1-dev
+---
+# FLUX.1-dev Controlnet
+
+Diffusers version: 
+until the next Diffusers pypi release, please install Diffusers from source and use [this PR](xxxxxx) to be able to use. 
+TODO: change when new version.
+
+
+
+<img src="./images/image_demo.jpg" width = "800" />
+<img src="./images/image_demo_weight.png" width = "800" />
+
+
+
+
+# Demo
+```python
+import torch
+from diffusers.utils import load_image
+from diffusers.pipelines.flux.pipeline_flux_controlnet import FluxControlNetPipeline
+from diffusers.models.controlnet_flux import FluxControlNetModel
+
+# load
+base_model = 'black-forest-labs/FLUX.1-dev'
+controlnet_model = 'InstantX/FLUX.1-dev-Controlnet-Union-alpha '
+controlnet = FluxControlNetModel.from_pretrained(controlnet_model, torch_dtype=torch.bfloat16)
+pipe = FluxControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16)
+pipe.to("cuda")
+
+# image cfg
+width, height = 1024, 1024
+controlnet_conditioning_scale = 0.6
+seed = 2024
+
+# canny
+control_image = load_image("https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union-alpha/resolve/main/canny.jpg")
+prompt = "A girl in city, 25 years old, cool, futuristic."
+control_mode = 0
+image = pipe(
+    prompt, 
+    control_image=control_image,
+    control_mode=control_mode,
+    controlnet_conditioning_scale=controlnet_conditioning_scale,
+    num_inference_steps=28, 
+    guidance_scale=3.5,
+).images[0]
+image.save("image.jpg")
+```