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  1. README.md +4 -4
README.md CHANGED
@@ -33,7 +33,7 @@ pip install accelerate transformers safetensors diffusers
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  And then setup the zoe-depth model
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- ```
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  import torch
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  import matplotlib
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  import matplotlib.cm
@@ -106,8 +106,8 @@ controlnet = ControlNetModel.from_pretrained(
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  "diffusers/controlnet-zoe-depth-sdxl-1.0",
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  use_safetensors=True,
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  torch_dtype=torch.float16,
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- ).to("cuda")
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- vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16).to("cuda")
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  pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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  "stabilityai/stable-diffusion-xl-base-1.0",
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  controlnet=controlnet,
@@ -115,7 +115,7 @@ pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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  variant="fp16",
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  use_safetensors=True,
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  torch_dtype=torch.float16,
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- ).to("cuda")
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  pipe.enable_model_cpu_offload()
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  And then setup the zoe-depth model
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+ ```python
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  import torch
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  import matplotlib
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  import matplotlib.cm
 
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  "diffusers/controlnet-zoe-depth-sdxl-1.0",
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  use_safetensors=True,
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  torch_dtype=torch.float16,
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+ )
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+ vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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  pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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  "stabilityai/stable-diffusion-xl-base-1.0",
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  controlnet=controlnet,
 
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  variant="fp16",
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  use_safetensors=True,
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  torch_dtype=torch.float16,
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+ )
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  pipe.enable_model_cpu_offload()
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