Merge remote-tracking branch 'origin/main'
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README.md
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@@ -10,9 +10,10 @@ pipeline_tag: text-to-image
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---
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<div align="center">
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**TensorArt Stable Diffusion 3.5 Medium ControlNet Depth**
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-
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</div>
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# With SD3.5M
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controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium",
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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image.save('image.jpg')
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```
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# With TensorArt's SD3.5M Turbo
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```python
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import torch
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controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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-
"
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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---
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<div align="center">
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+
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**TensorArt Stable Diffusion 3.5 Medium ControlNet Depth**
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<img src="./assets/showcase.png"/>
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</div>
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# With SD3.5M
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controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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"stabilityai/stable-diffusion-3.5-medium",
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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image.save('image.jpg')
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```
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+
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# With TensorArt's SD3.5M Turbo
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```python
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import torch
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controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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"tensorart/stable-diffusion-3.5-medium-turbo",
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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