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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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|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:| |
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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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