Create README.md

README.md

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+# SD3 Controlnet
+
+
+
+
+| raw | control image | output |
+|:-------------------------:|:-------------------------:|:-------------------------:|
+|<img src="./raw.jpg" width = "400" />  | <img src="./pose.jpg" width = "400" /> |  <img src="./demo_1.jpg" width = "400" /> |
+
+
+# Install Diffusers-SD3-Controlnet
+
+The current [diffusers](https://github.com/instantX-research/diffusers_sd3_control.git) have not been merged into the official code yet.
+
+```cmd
+git clone -b sd3_control https://github.com/instantX-research/diffusers_sd3_control.git
+cd diffusers
+pip install -e .
+```
+
+# Demo
+```python
+import torch
+from diffusers import StableDiffusion3Pipeline
+from diffusers.models.controlnet_sd3 import ControlNetSD3Model
+from diffusers.utils.torch_utils import randn_tensor
+import sys, os
+sys.path.append('/path/diffusers/examples/community')
+from pipeline_stable_diffusion_3_controlnet import StableDiffusion3CommonPipeline
+# load pipeline
+base_model = 'stabilityai/stable-diffusion-3-medium-diffusers'
+pipe = StableDiffusion3CommonPipeline.from_pretrained(
+    base_model, 
+    controlnet_list=['InstantX/SD3-Controlnet-Pose']
+)
+pipe.to('cuda:0', torch.float16)
+prompt = 'Anime style illustration of a girl wearing a suit. A moon in sky. In the background we see a big rain approaching. text "InstantX" on image'
+n_prompt = 'NSFW, nude, naked, porn, ugly'
+# controlnet config
+controlnet_conditioning = [
+    dict(
+        control_index=0,
+        control_image=load_image('https://huggingface.co/InstantX/SD3-Controlnet-Pose/resolve/main/pose.jpg'),
+        control_weight=0.7,
+        control_pooled_projections='zeros'
+    )
+]
+# infer
+image = pipe(
+    prompt=prompt,
+    negative_prompt=n_prompt,
+    controlnet_conditioning=controlnet_conditioning,
+    num_inference_steps=28,
+    guidance_scale=7.0,
+    height=1024,
+    width=1024,
+    latents=latents,
+).images[0]
+```