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README.md
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# SD3 Controlnet
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| control image | weight=0 | weight=0.3 | weight=0.5 | weight=0.7 | weight=0.9 |
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|<img src="./canny.jpg" width = "400" /> | <img src="./raw.jpg" width = "400" /> | <img src="./demo_0.jpg" width = "400" /> | <img src="./demo_3.jpg" width = "400" /> | <img src="./demo_5.jpg" width = "400" /> | <img src="./demo_7.jpg" width = "400" /> | <img src="./demo_9.jpg" width = "400" /> |
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# Install Diffusers-SD3-Controlnet
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The current [diffusers](https://github.com/instantX-research/diffusers_sd3_control.git) have not been merged into the official code yet.
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```cmd
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git clone -b sd3_control https://github.com/instantX-research/diffusers_sd3_control.git
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cd diffusers_sd3_control
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pip install -e .
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```
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# Demo
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```python
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import torch
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from diffusers import StableDiffusion3ControlNetPipeline
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from diffusers.models import SD3ControlNetModel, SD3MultiControlNetModel
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from diffusers.utils import load_image
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# load pipeline
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controlnet = SD3ControlNetModel.from_pretrained("InstantX/SD3-Controlnet-Tile")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium-diffusers",
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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# config
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control_image = load_image("https://huggingface.co/InstantX/SD3-Controlnet-Tile/resolve/main/tile.jpg")
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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'
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n_prompt = 'NSFW, nude, naked, porn, ugly'
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image = pipe(
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prompt,
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negative_prompt=n_prompt,
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control_image=tile_image,
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controlnet_conditioning_scale=0.5,
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).images[0]
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image.save('image.jpg')
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```
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